[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"_public_publisher_all{\"sortAscending\":false,\"sortField\":\"updateTime\",\"page\":0,\"size\":10,\"facet\":true,\"searchKey\":\"\"}":3,"_public_publisher_byId_85bd508c-1488-4fa8-80a9-076a8fbf986b":656,"_public_publication_all{\"sortAscending\":false,\"sortField\":\"totalCitation\",\"page\":0,\"size\":10,\"facet\":true,\"searchKey\":\"publisherId:85bd508c-1488-4fa8-80a9-076a8fbf986b,\"}":758},{"meta":4,"data":6},{"total":5},"117",[7,60,176,207,299,413,445,480,543,572],{"id":8,"createTime":9,"updateTime":10,"relativeEntities":11,"slug":12,"properties":13,"entityType":24,"verifyStatus":25,"verifyTime":26,"verifyNote":27,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":29,"subjectFields":30,"manageAffiliations":31,"indexDatabases":32,"url":33,"thumbnailPath":34,"statistic":35,"gsStatistic":26,"type":26,"analyzePriority":26},"5a09599f-54d1-44c3-8f16-3847ac552024","2023-08-17T04:28:50.832+00:00","2025-10-13T23:58:52.517+00:00",[],"T%E1%BA%A1p-ch%C3%AD-Truy%E1%BB%81n-nhi%E1%BB%85m-Vi%E1%BB%87t-Nam",{"country":14,"issn":16,"introduce":18,"title":21},{"VOID":15},"VN",{"VOID":17},"08667829",{"EN":19,"VI":20},"{\"ops\":[{\"insert\":\"Vietnam Journal of Infectious Diseases is a social - professional forum of the Vietnam Society for Infectious Diseases, whose responsibility is to introduce the researches, the scientific advances in Vietnam and from the world; to contribute to the improvement of knowledges for health care staffs about clinic, treatment, guideline, prevention, epidemiology for infectious diseases, HIV\u002FAIDS and community health care; to provide, exchange and publish scientific information to the public accurately and promptly.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Vietnam Journal of Infectious Diseases publishes in the whole country; serves the professional work for researchers, clinical staffs, administrators, undergraduate and postgraduate students who are working and studying in the infections, tropical diseases and HIV\u002FAIDS from central to local levels, also organizations and individuals in the world who are interested in infectious and tropical diseases and prevention for HIV\u002FAIDS.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Editor in Chief:\"},{\"attributes\":{\"header\":4},\"insert\":\"\\n\"},{\"insert\":\"Prof. Dr. Nguyen Van Kinh. - Chairman of Editorial Board\"},{\"attributes\":{\"align\":\"justify\",\"blockquote\":true},\"insert\":\"\\n\"},{\"insert\":\"Prof. Dr. Nguyen Van Mui.\"},{\"attributes\":{\"align\":\"justify\",\"blockquote\":true},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Headquarter:\"},{\"attributes\":{\"header\":4},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Address:\"},{\"insert\":\" Level 6, National Hospital for Tropical Diseases, No. 78 Giai Phong Street, Dong Da District, Hanoi city, Vietnam.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Tel:\"},{\"insert\":\" \"},{\"attributes\":{\"color\":\"#008d45\",\"background\":\"transparent\",\"link\":\"https:\u002F\u002Fbvnd.vojs.vn\u002Findex.php\u002Fvjid\u002Fmanagement\u002Fsettings\u002Fcontext\u002Ftel:02435765464\"},\"insert\":\"02435765464\"},{\"insert\":\"; \"},{\"attributes\":{\"color\":\"#008d45\",\"background\":\"transparent\",\"link\":\"https:\u002F\u002Fbvnd.vojs.vn\u002Findex.php\u002Fvjid\u002Fmanagement\u002Fsettings\u002Fcontext\u002Ftel:0913552672\"},\"insert\":\"0913552672\"},{\"insert\":\"; \"},{\"attributes\":{\"color\":\"#008d45\",\"background\":\"transparent\",\"link\":\"https:\u002F\u002Fbvnd.vojs.vn\u002Findex.php\u002Fvjid\u002Fmanagement\u002Fsettings\u002Fcontext\u002Ftel:0913228072\"},\"insert\":\"0913228072\"},{\"insert\":\".\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Email\"},{\"insert\":\": \"},{\"attributes\":{\"color\":\"#008d45\",\"background\":\"transparent\",\"link\":\"https:\u002F\u002Fbvnd.vojs.vn\u002Findex.php\u002Findex\u002Fadmin\u002Fcontexts\u002Fmailto:tungphamvan52@gmail.com\"},\"insert\":\"tungphamvan52@gmail.com\"},{\"insert\":\"; \"},{\"attributes\":{\"color\":\"#008d45\",\"background\":\"transparent\",\"link\":\"https:\u002F\u002Fbvnd.vojs.vn\u002Findex.php\u002Fvjid\u002Fmanagement\u002Fsettings\u002Fcontext\u002Fmailto:tapchitruyennhiem@gmail.com\"},\"insert\":\"tapchitruyennhiem@gmail.com\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Bank account:\"},{\"insert\":\" 0021000275119, Vietcombank Hanoi Branch. Transaction office No. 7, 402 Tran Khat Chan, Hai Ba Trung District, Hanoi city, Vietnam.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"\\n\"}]}","{\"ops\":[{\"insert\":\"Tạp chí Truyền nhiễm Việt Nam là cơ quan ngôn luận của Hội Truyền nhiễm Việt Nam, chịu sự lãnh đạo, chỉ đạo trực tiếp của Thường vụ Ban Chấp hành Hội Truyền nhiễm Việt Nam; sự kiểm tra, giám sát về nghiệp vụ báo chí của các cơ quan chức năng quản lý báo chí thuộc Bộ Thông tin và Truyền thông và Ban Tuyên giáo Trung ương Đảng.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Tạp chí có trách nhiệm giới thiệu các công trình nghiên cứu khoa học, những tiến bộ khoa học trên thế giới và trong nước, góp phần nâng cao kiến thức khoa học cho cán bộ y tế về lâm sàng, điều trị, hướng dẫn, dự phòng, dịch tễ học các bệnh truyền nhiễm, HIV\u002FAIDS và chăm sóc sức khỏe cộng đồng; cung cấp, trao đổi, phổ biến các thông tin khoa học tới công chúng chính xác và kịp thời.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Tạp chí xuất bản 03 tháng\u002F01 kỳ và được phát hành qua Bưu điện và tự phát hành trong phạm vi toàn quốc.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Lãnh đạo Tạp chí: \"},{\"attributes\":{\"header\":4},\"insert\":\"\\n\"},{\"insert\":\"Tổng Biên tập: ThS.BSCKII Nguyễn Trung Cấp\"},{\"attributes\":{\"align\":\"justify\",\"blockquote\":true},\"insert\":\"\\n\"},{\"insert\":\"Phó Tổng Biên tập:\"},{\"attributes\":{\"align\":\"justify\",\"blockquote\":true},\"insert\":\"\\n\"},{\"insert\":\"            TS.BSCKII Phạm Ngọc Thạch\"},{\"attributes\":{\"align\":\"justify\",\"blockquote\":true},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Trụ sở tòa soạn:\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Địa chỉ: Tầng 6, Bệnh viện Bệnh Nhiệt đới Trung ương, 78 đường Giải Phóng, phường Phương Mai, quận Đống Đa, thành phố Hà Nội.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Điện thoại:\"},{\"insert\":\" \"},{\"attributes\":{\"color\":\"#008d45\",\"background\":\"transparent\",\"link\":\"https:\u002F\u002Fbvnd.vojs.vn\u002Findex.php\u002Fvjid\u002Fmanagement\u002Fsettings\u002Fcontext\u002Ftel:02435765464\"},\"insert\":\"02435765464\"},{\"insert\":\" - \"},{\"attributes\":{\"color\":\"#008d45\",\"background\":\"transparent\",\"link\":\"https:\u002F\u002Fbvnd.vojs.vn\u002Findex.php\u002Fvjid\u002Fmanagement\u002Fsettings\u002Fcontext\u002Ftel:0913228072\"},\"insert\":\"0913228072\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Email\"},{\"insert\":\": \"},{\"attributes\":{\"color\":\"#008d45\",\"background\":\"transparent\",\"link\":\"https:\u002F\u002Fbvnd.vojs.vn\u002Findex.php\u002Findex\u002Fadmin\u002Fcontexts\u002Fmailto:tungphamvan52@gmail.com\"},\"insert\":\"tungphamvan52@gmail.com\"},{\"insert\":\"; \"},{\"attributes\":{\"color\":\"#008d45\",\"background\":\"transparent\",\"link\":\"https:\u002F\u002Fbvnd.vojs.vn\u002Findex.php\u002Fvjid\u002Fmanagement\u002Fsettings\u002Fcontext\u002Fmailto:tapchitruyennhiem@gmail.com\"},\"insert\":\"tapchitruyennhiem@gmail.com\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Tài khoản:\"},{\"insert\":\" Số 0021000275119 Ngân hàng Ngoại thương Việt Nam, chi nhánh Hà Nội (Vietcombank Hà Nội). Phòng giao dịch số 7, 402 Trần Khát Chân, quận Hai Bà Trưng, Thành phố Hà Nội.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"\\n\"}]}",{"EN":22,"VI":23},"Vietnam Journal of Infectious Diseases","Tạp chí Truyền nhiễm Việt Nam","PUBLISHER","VERIFIED",null,"Admin update database","PENDING",51,[],[],[],"https:\u002F\u002Ftruyennhiemvietnam.vn\u002Findex.php\u002Fvjid","\u002Fapi\u002Fpublic\u002Ffile\u002Fpublisher\u002F5a09599f-54d1-44c3-8f16-3847ac552024\u002Fadb0e52bf25e0de580fd4289519cb8bf.jpg",{"impactFactor":36,"impactFactorByYear":37,"i10Index":36,"i10IndexLast5Year":36,"totalPublication":41,"totalPublicationByYear":42,"totalCitation":48,"totalCitationByYear":49,"totalCitationPerPublication":54,"totalCitationPerPublicationByYear":55,"hindexLast5Year":59,"hindex":59},0,{"2022":38,"2023":39,"2024":40},0.01,0.03,0.13,315,{"2020":43,"2021":44,"2022":45,"2023":46,"2024":47},63,58,57,65,72,43,{"2020":50,"2021":51,"2022":52,"2023":53},8,15,9,11,0.14,{"2020":40,"2021":56,"2022":57,"2023":58},0.26,0.16,0.17,3,{"id":61,"createTime":62,"updateTime":63,"relativeEntities":64,"slug":65,"properties":66,"entityType":24,"verifyStatus":25,"verifyTime":78,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":79,"subjectFields":80,"manageAffiliations":81,"indexDatabases":136,"url":137,"thumbnailPath":26,"statistic":138,"gsStatistic":155,"type":175,"analyzePriority":26},"25b6bd10-676c-40c0-8dc3-356d1679a284","2023-05-19T02:22:33.430+00:00","2026-06-18T23:33:57.141+00:00",[],"T%E1%BA%A1p-ch%C3%AD-Y-D%C6%B0%E1%BB%A3c-h%E1%BB%8Dc-C%E1%BA%A7n-Th%C6%A1",{"country":67,"issn":68,"introduce":70,"title":73,"gsId":76},{"VOID":15},{"VOID":69},"23541210",{"EN":71,"VI":72},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"EN":74,"VI":75},"Cantho Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"VOID":77},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",32,[],[82],{"id":83,"createTime":84,"updateTime":85,"relativeEntities":86,"slug":87,"properties":88,"entityType":98,"verifyStatus":25,"verifyTime":99,"verifyNote":26,"syncStatus":28,"languages":100,"translateLanguages":26,"viewCount":103,"url":104,"parentIds":105,"statistic":106},"6413896b-eca9-442b-a73f-182a58a0ce40","2023-06-12T14:59:13.446+00:00","2026-06-19T02:29:32.871+00:00",[],"Tr%C6%B0%E1%BB%9Dng-%C4%90%E1%BA%A1i-h%E1%BB%8Dc-Y-D%C6%B0%E1%BB%A3c-C%E1%BA%A7n-Th%C6%A1",{"country":89,"title":90,"address":93,"abbreviation":96},{"VOID":15},{"EN":91,"VI":92},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"VI":94,"EN":95},"Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam","No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam",{"VOID":97},"ctump","AFFILIATION","2023-08-01T14:07:27.977+00:00",[101,102],"VI","EN",12,"http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],{"impactFactor":36,"impactFactorByYear":107,"i10Index":111,"i10IndexLast5Year":59,"totalPublication":112,"totalPublicationByYear":113,"totalCitation":122,"totalCitationByYear":123,"totalCitationPerPublication":128,"totalCitationPerPublicationByYear":129,"hindexLast5Year":135,"hindex":135},{"2022":108,"2023":109,"2024":110,"2025":38},0.1,0.05,0.07,4,1489,{"2013":114,"2014":115,"2015":115,"2016":111,"2017":115,"2018":59,"2019":114,"2020":116,"2021":117,"2022":118,"2023":119,"2024":120,"2025":121,"2026":111},2,1,10,84,281,680,260,156,313,{"2013":59,"2014":114,"2018":124,"2021":125,"2022":126,"2023":127},17,36,123,132,0.21,{"2013":130,"2014":114,"2018":131,"2021":132,"2022":133,"2023":134},1.5,5.67,0.43,0.44,0.19,6,[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":36,"impactFactorByYear":139,"i10Index":114,"i10IndexLast5Year":114,"totalPublication":140,"totalPublicationByYear":141,"totalCitation":147,"totalCitationByYear":148,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":152,"hindexLast5Year":135,"hindex":135},{"2022":38,"2023":36,"2024":39,"2025":38},1956,{"0":114,"2019":114,"2020":50,"2021":142,"2022":143,"2023":144,"2024":145,"2025":146},76,403,789,305,371,524,{"0":114,"2019":135,"2021":124,"2022":149,"2023":150,"2024":111,"2025":114},287,206,0.27,{"0":115,"2019":59,"2021":153,"2022":154,"2023":56,"2024":38,"2025":38},0.22,0.71,{"impactFactor":26,"impactFactorByYear":26,"i10Index":114,"i10IndexLast5Year":114,"totalPublication":156,"totalPublicationByYear":157,"totalCitation":163,"totalCitationByYear":164,"totalCitationPerPublication":169,"totalCitationPerPublicationByYear":170,"hindexLast5Year":135,"hindex":135},461,{"0":158,"2019":114,"2021":159,"2022":160,"2023":161,"2024":158,"2025":162},7,37,296,107,5,419,{"2021":59,"2022":59,"2023":165,"2024":166,"2025":167,"2026":168},71,126,171,41,0.91,{"2021":171,"2022":38,"2023":172,"2024":173,"2025":174},0.08,0.66,18,34.2,"JOURNAL",{"id":177,"createTime":178,"updateTime":179,"relativeEntities":180,"slug":181,"properties":182,"entityType":24,"verifyStatus":25,"verifyTime":193,"verifyNote":26,"syncStatus":28,"languages":194,"translateLanguages":26,"viewCount":36,"subjectFields":195,"manageAffiliations":196,"indexDatabases":197,"url":198,"thumbnailPath":26,"statistic":26,"gsStatistic":199,"type":175,"analyzePriority":26},"f8d0bf97-8d89-482e-b58c-2fc481a0b79b","2025-10-27T06:27:08.591+00:00","2026-06-18T23:33:41.667+00:00",[],"T%E1%BA%A1p-ch%C3%AD-Khoa-h%E1%BB%8Dc-v%C3%A0-C%C3%B4ng-ngh%E1%BB%87-nhi%E1%BB%87t-%C4%91%E1%BB%9Bi",{"country":183,"introduce":184,"gsId":186,"title":188,"issn":191},{"VOID":15},{"EN":185},"\u003Cp style=\"text-align:justify;\">     Journal of Tropical Science and Engineering (JTSE) is a multidisciplinary scientific journal, licensed to operate as a print journal in 2012 and an electronic journal in 2024 (License No.1479\u002FGP-BTTTT dated August 20, 2012 and No.91\u002FGP-BTTTT dated April 9, 2024 issued by the Ministry of Information and Communications of Vietnam). The JTSE is headquartered in Hanoi.\u003C\u002Fp>\u003Cp style=\"text-align:justify;\">        The JTSE is published every 3 months (4 issues\u002Fyear), publishing research results and overview articles in 3 groups of fields: Tropical Ecology and Environment; Chemistry and Material Sciences; Biomedicine and Pharmacy. In 2022, the JTSE registered the international identifier Digital Object Identifier (DOI): 10.58334\u002Fvrtc.jtst and assigned DOI codes to all articles of the journal. The members of the Editorial Board of the JTSE are prestigious scientists and leading scientists from Vietnam and many countries in the world. The JTSE has been recognized by the Vietnam State Council for Professorship to score scientific articles in Chemistry, Medicine and Biology with scores ranging from 0-0.75 points.\u003C\u002Fp>\u003Cp style=\"text-align:justify;\">      Currently, the JTSE is building and perfecting a set of criteria and making efforts to join the List of prestigious  international journals with a roadmap to enter Scopus and SCIE in the coming time.\u003C\u002Fp>",{"VOID":187},"MS2_GJQAAAAJ",{"VI":189,"EN":190},"Tạp chí Khoa học và Công nghệ nhiệt đới","Journal of Tropical Science and Engineering",{"VOID":192},"08667535","2025-10-27T06:27:25.058+00:00",[101,102],[],[],[],"https:\u002F\u002Ftapchikhcnnd.com.vn",{"impactFactor":26,"impactFactorByYear":26,"i10Index":36,"i10IndexLast5Year":36,"totalPublication":200,"totalPublicationByYear":201,"totalCitation":161,"totalCitationByYear":203,"totalCitationPerPublication":153,"totalCitationPerPublicationByYear":205,"hindexLast5Year":114,"hindex":114},481,{"0":115,"2020":115,"2021":115,"2022":114,"2024":115,"2025":202,"2026":115},474,{"2017":114,"2018":115,"2019":111,"2020":162,"2021":162,"2022":116,"2023":50,"2024":162,"2025":204,"2026":52},52,{"2020":162,"2021":162,"2022":162,"2024":162,"2025":206,"2026":52},0.11,{"id":208,"createTime":209,"updateTime":210,"relativeEntities":211,"slug":212,"properties":213,"entityType":24,"verifyStatus":25,"verifyTime":221,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":222,"subjectFields":223,"manageAffiliations":224,"indexDatabases":225,"url":226,"thumbnailPath":26,"statistic":227,"gsStatistic":276,"type":175,"analyzePriority":26},"a3d1e82a-57e2-40f9-940e-f5fa8b9ef64a","2023-06-01T07:11:26.039+00:00","2026-06-18T23:33:28.573+00:00",[],"VNU-Journal-of-Science-Earth-and-Environmental-Sciences",{"issn":214,"title":216,"country":218,"gsId":219},{"VOID":215},"26159279",{"EN":217},"VNU Journal of Science: Earth and Environmental Sciences",{"VOID":15},{"VOID":220},"UmXD8vEAAAAJ","2023-06-01T07:17:59.210+00:00",27,[],[],[],"https:\u002F\u002Fjs.vnu.edu.vn\u002FEES",{"impactFactor":36,"impactFactorByYear":228,"i10Index":234,"i10IndexLast5Year":36,"totalPublication":235,"totalPublicationByYear":236,"totalCitation":246,"totalCitationByYear":247,"totalCitationPerPublication":261,"totalCitationPerPublicationByYear":262,"hindexLast5Year":103,"hindex":103},{"2010":229,"2012":40,"2013":230,"2014":230,"2015":231,"2016":54,"2017":171,"2018":109,"2019":110,"2020":57,"2021":232,"2022":233,"2023":151,"2024":58},0.02,0.04,0.09,0.31,0.4,19,656,{"2008":237,"2009":238,"2010":239,"2011":238,"2012":240,"2013":241,"2014":239,"2015":242,"2016":243,"2017":244,"2018":245,"2019":165,"2020":125,"2021":168,"2022":125,"2023":222,"2024":111},23,24,22,28,25,20,146,29,78,1038,{"2008":248,"2009":249,"2010":250,"2011":251,"2012":252,"2013":253,"2014":254,"2015":255,"2016":256,"2017":257,"2018":161,"2019":258,"2020":259,"2021":29,"2022":260},119,64,66,86,38,73,59,31,129,39,97,53,26,1.58,{"2008":263,"2009":264,"2010":59,"2011":265,"2012":266,"2013":267,"2014":268,"2015":269,"2016":270,"2017":271,"2018":272,"2019":272,"2020":273,"2021":274,"2022":275},5.17,2.67,3.58,1.36,2.92,2.68,1.55,0.88,1.34,1.37,1.47,1.24,0.72,{"impactFactor":26,"impactFactorByYear":26,"i10Index":173,"i10IndexLast5Year":135,"totalPublication":277,"totalPublicationByYear":278,"totalCitation":279,"totalCitationByYear":280,"totalCitationPerPublication":288,"totalCitationPerPublicationByYear":289,"hindexLast5Year":158,"hindex":298},113,{"2007":114,"2008":103,"2009":173,"2010":116,"2011":51,"2012":239,"2013":103,"2014":162,"2015":53,"2016":135},616,{"2009":162,"2010":114,"2011":52,"2012":124,"2013":222,"2014":255,"2015":48,"2016":44,"2017":281,"2018":282,"2019":259,"2020":283,"2021":284,"2022":285,"2023":286,"2024":257,"2025":287,"2026":59},54,60,49,47,34,44,33,5.45,{"2009":290,"2010":291,"2011":292,"2012":293,"2013":294,"2014":295,"2015":296,"2016":297},0.28,0.2,0.6,0.77,2.25,6.2,3.91,9.67,14,{"id":300,"createTime":301,"updateTime":302,"relativeEntities":303,"slug":304,"properties":305,"entityType":24,"verifyStatus":25,"verifyTime":316,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":234,"subjectFields":317,"manageAffiliations":318,"indexDatabases":388,"url":389,"thumbnailPath":390,"statistic":391,"gsStatistic":409,"type":175,"analyzePriority":26},"a7166325-6c9e-4db3-8a59-7c879701a372","2023-07-31T04:28:49.231+00:00","2026-06-18T23:33:22.428+00:00",[],"VNU-Journal-of-Science-Policy-and-Management-Studies",{"country":306,"issn":307,"eissn":309,"title":311,"gsId":314},{"VOID":15},{"VOID":308},"26159295",{"VOID":310},"25881116",{"EN":312,"VI":313},"VNU Journal of Science: Policy and Management Studies","Tạp chí Nghiên cứu Chính sách và Quản lý",{"VOID":315},"xKW2E_cAAAAJ","2023-08-01T03:23:46.688+00:00",[],[319],{"id":320,"createTime":321,"updateTime":322,"relativeEntities":323,"slug":324,"properties":325,"entityType":98,"verifyStatus":25,"verifyTime":335,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":336,"url":337,"parentIds":338,"statistic":339},"12466116-8f60-4b01-8faf-2411483a0977","2023-05-30T09:37:38.472+00:00","2026-06-19T02:14:28.352+00:00",[],"Vietnam-National-University",{"country":326,"title":327,"abbreviation":330,"address":332},{"VOID":15},{"EN":328,"VI":329},"Vietnam National University, Hanoi","Đại học Quốc gia Hà Nội",{"VOID":331},"VNU",{"VI":333,"EN":334},"Số 144 Xuân Thủy, Phường Dịch Vọng Hậu, Quận Cầu Giấy, Hà Nội, Việt Nam","No. 144 Xuan Thuy Street, Dich Vong Hau Ward, Cau Giay District, Hanoi, Vietnam","2023-08-02T13:58:17.029+00:00",16,"http:\u002F\u002Fwww.vnu.edu.vn\u002F",[],{"impactFactor":36,"impactFactorByYear":340,"i10Index":285,"i10IndexLast5Year":162,"totalPublication":344,"totalPublicationByYear":345,"totalCitation":354,"totalCitationByYear":355,"totalCitationPerPublication":368,"totalCitationPerPublicationByYear":369,"hindexLast5Year":336,"hindex":336},{"2014":109,"2015":231,"2016":231,"2017":206,"2018":341,"2019":110,"2020":342,"2021":343,"2022":171,"2023":231,"2024":110,"2025":39},0.06,0.18,0.35,1247,{"2003":115,"2004":115,"2005":114,"2006":59,"2007":111,"2008":162,"2009":59,"2010":50,"2011":124,"2012":336,"2013":260,"2014":244,"2015":250,"2016":281,"2017":346,"2018":347,"2019":348,"2020":349,"2021":350,"2022":351,"2023":352,"2024":353,"2025":255,"2026":50},94,88,83,67,176,185,187,93,1644,{"2004":111,"2005":115,"2006":52,"2007":298,"2008":356,"2009":298,"2010":286,"2011":357,"2012":244,"2013":358,"2014":359,"2015":360,"2016":361,"2017":362,"2018":363,"2019":364,"2020":365,"2021":366,"2022":367,"2023":367,"2024":162},13,81,48,70,151,115,109,259,174,181,121,101,1.32,{"2004":111,"2005":370,"2006":59,"2007":371,"2008":372,"2009":373,"2010":374,"2011":375,"2012":376,"2013":377,"2014":378,"2015":379,"2016":380,"2017":381,"2018":382,"2019":383,"2020":384,"2021":385,"2022":386,"2023":387,"2024":109},0.5,3.5,2.6,4.67,5.5,4.76,1.81,1.85,2.41,2.29,2.13,1.16,2.94,2.1,2.7,0.69,0.55,0.54,[],"https:\u002F\u002Fjs.vnu.edu.vn\u002FPaM","\u002Fapi\u002Fpublic\u002Ffile\u002Fpublisher\u002Fa7166325-6c9e-4db3-8a59-7c879701a372\u002Fecfe83f4bcc60c7023ae04d8900fe0ac.jpg",{"impactFactor":36,"impactFactorByYear":392,"i10Index":111,"i10IndexLast5Year":36,"totalPublication":394,"totalPublicationByYear":395,"totalCitation":399,"totalCitationByYear":400,"totalCitationPerPublication":293,"totalCitationPerPublicationByYear":403,"hindexLast5Year":158,"hindex":158},{"2018":109,"2019":171,"2020":393,"2021":108,"2022":54,"2023":206,"2024":54},0.23,320,{"2015":50,"2016":239,"2017":286,"2018":396,"2019":397,"2020":159,"2021":398,"2022":168,"2023":79,"2024":255},30,35,40,247,{"2015":115,"2016":242,"2017":401,"2018":222,"2019":402,"2020":79,"2021":239,"2022":50,"2023":116},77,50,{"2015":404,"2016":169,"2017":405,"2018":406,"2019":407,"2020":408,"2021":386,"2022":291,"2023":232},0.12,1.75,0.9,1.43,0.86,{"impactFactor":26,"impactFactorByYear":26,"i10Index":36,"i10IndexLast5Year":36,"totalPublication":103,"totalPublicationByYear":410,"totalCitation":234,"totalCitationByYear":411,"totalCitationPerPublication":261,"totalCitationPerPublicationByYear":412,"hindexLast5Year":114,"hindex":59},{"2015":114,"2016":116},{"2016":115,"2017":114,"2018":114,"2019":59,"2020":114,"2021":59,"2022":114,"2023":114,"2024":115,"2026":115},{"2016":108},{"id":414,"createTime":415,"updateTime":416,"relativeEntities":417,"slug":418,"properties":419,"entityType":24,"verifyStatus":25,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":238,"subjectFields":428,"manageAffiliations":429,"indexDatabases":430,"url":431,"thumbnailPath":26,"statistic":432,"gsStatistic":438,"type":175,"analyzePriority":26},"16e65a3f-d274-47dd-8691-56d76eb58c3d","2023-05-30T09:10:06.062+00:00","2026-06-18T23:33:17.679+00:00",[],"Vietnam-Journal-of-Otorhinolaryngology-Head-and-Neck-Surgery",{"country":420,"issn":421,"title":423,"gsId":426},{"VOID":15},{"VOID":422},"18593704",{"EN":424,"VI":425},"Vietnam Journal of Otorhinolaryngology - Head and Neck Surgery","Tạp chí Tai Mũi Họng Việt Nam",{"VOID":427},"L78B_eIAAAAJ",[],[],[],"https:\u002F\u002Ftapchitaimuihong.vn\u002Findex.php\u002Ftmh",{"impactFactor":36,"impactFactorByYear":433,"i10Index":36,"i10IndexLast5Year":36,"totalPublication":434,"totalPublicationByYear":435,"totalCitation":111,"totalCitationByYear":436,"totalCitationPerPublication":230,"totalCitationPerPublicationByYear":437,"hindexLast5Year":115,"hindex":115},{"2024":229},95,{"2022":52,"2023":286,"2024":255,"2025":53},{"2023":111},{"2023":231},{"impactFactor":26,"impactFactorByYear":26,"i10Index":36,"i10IndexLast5Year":36,"totalPublication":240,"totalPublicationByYear":439,"totalCitation":234,"totalCitationByYear":440,"totalCitationPerPublication":441,"totalCitationPerPublicationByYear":442,"hindexLast5Year":114,"hindex":114},{"2023":53,"2024":116,"2025":135,"2026":115},{"2024":59,"2025":298,"2026":114},0.68,{"2024":443,"2025":444,"2026":114},0.3,2.33,{"id":446,"createTime":447,"updateTime":448,"relativeEntities":449,"slug":450,"properties":451,"entityType":24,"verifyStatus":25,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":396,"subjectFields":460,"manageAffiliations":461,"indexDatabases":462,"url":463,"thumbnailPath":464,"statistic":465,"gsStatistic":472,"type":175,"analyzePriority":26},"25988add-c322-4eda-afda-63b1559bb824","2023-04-07T03:49:55.817+00:00","2026-06-18T23:32:23.776+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Y%20-%20D%C6%B0%E1%BB%A3c%20h%E1%BB%8Dc%20qu%C3%A2n%20s%E1%BB%B1",{"country":452,"issn":453,"title":455,"gsId":458},{"VOID":15},{"VOID":454},"18590748",{"EN":456,"VI":457},"Journal of Military Pharmaco-medicine","Tạp chí Y - Dược học quân sự",{"VOID":459},"_pmQ8IEAAAAJ",[],[],[],"https:\u002F\u002Fjmpm.vn\u002Findex.php\u002Fjmpm","\u002Fapi\u002Fpublic\u002Ffile\u002Fpublisher\u002F25988add-c322-4eda-afda-63b1559bb824\u002F09c6bc42157cf5ece95edc971ccddb52.jpg",{"impactFactor":36,"impactFactorByYear":466,"i10Index":36,"i10IndexLast5Year":36,"totalPublication":467,"totalPublicationByYear":468,"totalCitation":135,"totalCitationByYear":470,"totalCitationPerPublication":38,"totalCitationPerPublicationByYear":471,"hindexLast5Year":115,"hindex":115},{"2023":229,"2024":38},475,{"2022":168,"2023":365,"2024":469,"2025":124},236,{"2022":114,"2023":111},{"2022":109,"2023":229},{"impactFactor":26,"impactFactorByYear":26,"i10Index":36,"i10IndexLast5Year":36,"totalPublication":277,"totalPublicationByYear":473,"totalCitation":401,"totalCitationByYear":474,"totalCitationPerPublication":441,"totalCitationPerPublicationByYear":475,"hindexLast5Year":59,"hindex":59},{"2015":115,"2018":114,"2019":115,"2020":115,"2021":59,"2022":103,"2023":159,"2024":287,"2025":237},{"2020":115,"2021":115,"2022":115,"2023":52,"2024":237,"2025":79,"2026":116},{"2020":115,"2021":476,"2022":171,"2023":477,"2024":478,"2025":479},0.33,0.24,0.7,1.39,{"id":481,"createTime":482,"updateTime":483,"relativeEntities":484,"slug":485,"properties":486,"entityType":24,"verifyStatus":25,"verifyTime":26,"verifyNote":27,"syncStatus":28,"languages":496,"translateLanguages":26,"viewCount":45,"subjectFields":497,"manageAffiliations":498,"indexDatabases":525,"url":526,"thumbnailPath":527,"statistic":528,"gsStatistic":26,"type":26,"analyzePriority":26},"2b8d7b12-2d20-4777-be98-077f44f03c69","2023-09-07T07:40:58.286+00:00","2025-07-13T21:21:00.542+00:00",[],"VNU-Journal-of-Social-Sciences-and-Humanities",{"country":487,"issn":488,"introduce":490,"title":493},{"VOID":15},{"VOID":489},"23541172",{"EN":491,"VI":492},"{\"ops\":[{\"insert\":\"VNU Journal of Social Sciences and Humanities (ISSN 2354-1172) is a double-blind peer-reviewed journal published by University of Social Sciences and Humanities, Vietnam National University, Hanoi, Vietnam, under the publication permit no. 155\u002FGP-BTTTT, issued on 11\"},{\"attributes\":{\"script\":\"super\"},\"insert\":\"th \"},{\"insert\":\"May, 2015 by Ministry of Information and Communications. The journal publishes four Vietnamese issues and two English issues per year.\\nCurrently, there are 35 reputable professors in the editorial board. The main objectives of the journal include: providing an intellectual platform for Vietnamese and international scholars; promoting interdisciplinary studies in social sciences and humanities; becoming the leading journal in social sciences and humanities in Vietnam; being indexed by worldwide databases and having academic recognition internationally in the near future.\\nThe journal is currently indexed by Google Scholar, WorldCat, Open Archives, Cosmos Impact Factor, Advanced Sciences Index, Scientific Indexing Services, CrossRef, EBSCO Information Services and Vietnam National University’s digital archive.\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Journal of Social Sciences and Humanities-Vietnam\"},{\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"ISSN 2354-1172, email: tapchikhxhnv@gmail.com, tckhxhnv@vnu.edu.vn\"},{\"insert\":\"\\n\"}]}","{\"ops\":[{\"insert\":\"Được thành lập ngày 31\u002F8\u002F2015 (giấy phép hoạt động số 155\u002FGP-BVHTT ngày 11 tháng 5 năm 2015 của Bộ Thông tin và Truyền thông, mã số tiêu chuẩn quốc tế ISSN 2354-1172), Tạp chí Khoa học Xã hội và Nhân văn (Journal of Social Sciences and Humanities) là ấn phẩm khoa học chính thức, duy nhất của Trường Đại học Khoa học Xã hội và Nhân văn, ĐHQG Hà Nội, phát triển và kế thừa Chuyên san Khoa học Xã hội và Nhân văn, Tạp chí Khoa học, ĐHQG Hà Nội.\\nTạp chí xuất bản định kỳ (04 số tiếng Việt\u002Fnăm và 02 số tiếng Anh\u002Fnăm), có nhiệm vụ \"},{\"attributes\":{\"italic\":true},\"insert\":\"công bố, giới thiệu các công trình nghiên cứu khoa học khoa học xã hội và nhân văn của các tác giả là các nhà khoa học trong và ngoài nước, phục vụ giảng dạy, học tập và nghiên cứu khoa học\"},{\"insert\":\". Hội đồng biên tập của Tạp chí hiện bao gồm 33 nhà khoa học có uy tín trong nước và quốc tế. Tạp chí tập trung và ưu tiên đăng tải những bài báo theo định hướng của tinh thần cởi mở, sáng tạo, nhanh chóng vươn lên để tiếp cận và sánh ngang với các tạp chí có uy tín hàng đầu của khu vực và trên thế giới. Nội dung chính của Tạp chí bao gồm các Bài nghiên cứu (khoảng 6000 đến 15000 từ), các bài điểm sách, thông tin khoa học (khoảng 300 đến 1500 từ) được trình bày theo đúng cấu trúc và chuẩn mực của một tạp chí khoa học.\\nCác bài viết của Tạp chí hiện đang được trích dẫn bởi Google Scholar, WorldCat, Open Archives, Cosmos Impact Factor, Advanced Sciences Index, Scientific Indexing Services, CrossRef, EBSCO Information Services.\\nMọi thông tin xin liên hệ: \"},{\"attributes\":{\"italic\":true},\"insert\":\"Phòng Tạp chí, 701 - E, Trường Đại học Khoa học Xã hội và Nhân văn, 336 Nguyễn Trãi, Thanh Xuân, Hà Nội. ĐT: 024.35581984; email: tckhxhnv@vnu.edu.vn \"},{\"insert\":\"hoặc \"},{\"attributes\":{\"italic\":true},\"insert\":\"tapchikhxhnv@gmail.com \"},{\"insert\":\"\\n\"}]}",{"EN":494,"VI":495},"VNU Journal of Social Sciences and Humanities","Tạp chí Khoa học Xã hội và Nhân văn",[101,102],[],[499],{"id":500,"createTime":501,"updateTime":502,"relativeEntities":503,"slug":504,"properties":505,"entityType":98,"verifyStatus":25,"verifyTime":509,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":222,"url":26,"parentIds":510,"statistic":511},"8b6e349b-0daf-4895-9c3f-85f30f1bfd42","2023-07-31T12:55:58.430+00:00","2026-06-19T02:30:07.899+00:00",[],"Tr%C6%B0%E1%BB%9Dng-%C4%90%E1%BA%A1i-h%E1%BB%8Dc-Khoa-h%E1%BB%8Dc-X%C3%A3-h%E1%BB%99i-v%C3%A0-Nh%C3%A2n-v%C4%83n-%C4%90%E1%BA%A1i-h%E1%BB%8Dc-Qu%E1%BB%91c-gia-H%C3%A0-N%E1%BB%99i",{"title":506},{"EN":507,"VI":508},"VNU University of Social Sciences and Humanities","Trường Đại học Khoa học Xã hội và Nhân văn, Đại học Quốc gia Hà Nội","2023-08-02T15:28:49.057+00:00",[],{"impactFactor":36,"impactFactorByYear":512,"i10Index":59,"i10IndexLast5Year":115,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":518,"totalCitationByYear":519,"totalCitationPerPublication":520,"totalCitationPerPublicationByYear":521,"hindexLast5Year":162,"hindex":162},{"2016":229,"2017":230,"2018":229,"2021":230,"2022":58,"2023":513,"2024":38},0.15,365,{"2013":115,"2014":158,"2015":125,"2016":252,"2017":44,"2018":516,"2019":286,"2020":396,"2021":259,"2022":517,"2023":396,"2024":115,"2025":59,"2026":115},21,42,169,{"2015":283,"2016":135,"2017":52,"2018":50,"2019":298,"2020":53,"2021":359,"2022":115,"2023":115},0.46,{"2015":266,"2016":57,"2017":57,"2018":522,"2019":523,"2020":524,"2021":368,"2022":229,"2023":39},0.38,0.32,0.37,[],"http:\u002F\u002Fjournal.ussh.vnu.edu.vn\u002Findex.php\u002Fvjossh","\u002Fapi\u002Fpublic\u002Ffile\u002Fpublisher\u002F2b8d7b12-2d20-4777-be98-077f44f03c69\u002F0bd0751202944a4b4165b482e6e623e4.png",{"impactFactor":36,"impactFactorByYear":529,"i10Index":162,"i10IndexLast5Year":115,"totalPublication":530,"totalPublicationByYear":531,"totalCitation":537,"totalCitationByYear":538,"totalCitationPerPublication":343,"totalCitationPerPublicationByYear":540,"hindexLast5Year":135,"hindex":135},{"2016":341,"2017":39,"2018":229,"2019":38,"2020":110,"2021":231,"2022":231,"2023":341,"2024":39},764,{"2015":255,"2016":245,"2017":532,"2018":259,"2019":533,"2020":534,"2021":535,"2022":536,"2023":534,"2024":254,"2025":50},111,106,68,92,89,265,{"2015":539,"2016":241,"2017":168,"2018":51,"2019":349,"2020":260,"2021":244,"2022":298,"2023":114},46,{"2015":541,"2016":523,"2017":524,"2018":290,"2019":542,"2020":522,"2021":523,"2022":57,"2023":39},1.48,0.63,{"id":544,"createTime":545,"updateTime":546,"relativeEntities":547,"slug":548,"properties":549,"entityType":24,"verifyStatus":25,"verifyTime":26,"verifyNote":558,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":50,"subjectFields":559,"manageAffiliations":560,"indexDatabases":561,"url":562,"thumbnailPath":563,"statistic":564,"gsStatistic":26,"type":26,"analyzePriority":26},"6ec01bd0-15c0-469a-86ac-41339076ae0a","2023-08-10T07:08:33.153+00:00","2026-01-31T21:19:06.362+00:00",[],"T%E1%BA%A1p-ch%C3%AD-Da-li%E1%BB%85u-h%E1%BB%8Dc-Vi%E1%BB%87t-Nam",{"country":550,"issn":551,"introduce":553,"title":555},{"VOID":15},{"VOID":552},"18594824",{"VI":554},"{\"ops\":[{\"insert\":\"Tạp chí “Da liễu học Việt Nam” (Tiếng Anh: Vietnamese Journal of Dermatology and Venereology) thuộc Hội Da liễu Việt Nam, xuất bản 4 số mỗi năm bằng tiếng Việt hoặc tiếng Anh.\\nTạp chí Da liễu học Việt Nam hoạt động với mục đích, tôn chỉ là phổ biến, trao đổi thông tin trong lĩnh vực chuyên ngành da liễu; đăng tải các công trình nghiên cứu khoa học; chuyển giao công nghệ - kinh tế và khoa học kỹ thuật liên quan đến lĩnh vực da liễu.\\nPhạm vi của tạp chí là tất cả các bài báo khoa học, bài tổng quan, giới thiệu ca lâm sàng, … có liên quan tới chuyên ngành da liễu trong và ngoài nước. Tạp chí công bố các công trình nghiên cứu liên quan đến mô hình bệnh tật, các phương pháp chẩn đoán, điều trị, dự phòng và phục hồi chức năng các bệnh thuộc chuyên ngành da liễu. Ngoài ra, tạp chí còn đăng tải các bài tổng quan, cập nhật thông tin, kiến thức, hướng dẫn chẩn đoán, điều trị trong chuyên ngành da liễu trong nước và quốc tế; đăng tải các bài ca lâm sàng đặc biệt trong chuyên ngành da liễu.\\nTạp chí Da liễu học Việt Nam được biết tới là một tạp chí chuyên ngành có uy tín trong lĩnh vực da liễu. Các bài báo về nghiên cứu khoa học đăng trong Tạp chí được bình duyệt một cách nghiêm ngặt bởi ít nhất 2 chuyên gia. Hội đồng biên tập tạp chí bao gồm các nhà khoa học có uy tín (Giáo sư, Phó Giáo sư, Tiến sĩ, Bác sĩ…) trong chuyên ngành da liễu nhằm đảm bảo chất lượng và tính khách quan, khoa học cho các bài viết đăng trên Tạp chí.\\n\"}]}",{"EN":556,"VI":557},"Vietnamese Journal of Dermatology and Venereology","Tạp chí Da liễu học Việt Nam","Admin Import",[],[],[],"https:\u002F\u002Fvjdv.vn\u002Findex.php\u002Fvjdv","\u002Fapi\u002Fpublic\u002Ffile\u002Fpublisher\u002F6ec01bd0-15c0-469a-86ac-41339076ae0a\u002F3cbc81720e58429dc7b1c4d7ab1935ca.jpg",{"impactFactor":36,"impactFactorByYear":565,"i10Index":36,"i10IndexLast5Year":36,"totalPublication":566,"totalPublicationByYear":567,"totalCitation":116,"totalCitationByYear":570,"totalCitationPerPublication":109,"totalCitationPerPublicationByYear":571,"hindexLast5Year":115,"hindex":115},{"2023":38,"2024":230},182,{"2022":568,"2023":45,"2024":569},69,56,{"2022":52,"2023":115},{"2022":40,"2023":229},{"id":573,"createTime":574,"updateTime":575,"relativeEntities":576,"slug":577,"properties":578,"entityType":24,"verifyStatus":25,"verifyTime":26,"verifyNote":27,"syncStatus":28,"languages":587,"translateLanguages":26,"viewCount":283,"subjectFields":588,"manageAffiliations":589,"indexDatabases":647,"url":648,"thumbnailPath":649,"statistic":650,"gsStatistic":26,"type":26,"analyzePriority":26},"19221551-7519-47ff-a892-331d1139c64b","2023-09-12T07:03:05.744+00:00","2026-01-24T20:54:40.144+00:00",[],"T%E1%BA%A1p-ch%C3%AD-Khoa-h%E1%BB%8Dc-S%E1%BB%A9c-kho%E1%BA%BB-%C4%90%E1%BA%A1i-h%E1%BB%8Dc-Qu%E1%BB%91c-gia-Th%C3%A0nh-ph%E1%BB%91-H%E1%BB%93-Ch%C3%AD-Minh",{"country":579,"issn":580,"introduce":582,"title":584},{"VOID":15},{"VOID":581},"27349446",{"EN":583},"{\"ops\":[{\"attributes\":{\"bold\":true},\"insert\":\"1. History\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Science and Technology Development Journal\"},{\"insert\":\" (STDJ) (ISSN 2734-9446), Vietnam National University - Ho Chi Minh City (VNU-HCM) was established in 1997. And the first issue was published in January 1998 with ISSN 1859-0128. Since then, STDJ has become the most important scientific forum of scientists from VNU-HCM as well as other universities. The magazine has undergone 20 years of development and has become a bridge for scientific exchanges, as well as enriching reference materials for the faculty, doctoral students, students of VNU-HCM in particular and other universities, institutes...\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Science and Technology Development Journal - Health Sciences (STDJ-HS) is a subjournal of Science and Technology Development Journal since 2020.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\" \"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"2. Focus and Scope\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Publishing articles with contents on healthcare, research projects in the field of health, advanced directions in health education and management. Therefore, STDJ-HS will accept articles from doctors, administrators, teachers, researchers, graduate students and fellows. The authors will be responsible for the accuracy of the data, opinions, opinions and material cited in the article.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Facilitating the exchange of scientific and technological information and act as a bridge between theory and practice in the community of educators, scientists, managers, policy makers and enterprises in and out of the country.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"\\n\"}]}",{"EN":585,"VI":586},"VNUHCM JOURNAL OF HEALTH SCIENCES","Tạp chí Khoa học Sức khoẻ Đại học Quốc gia Thành phố Hồ Chí Minh",[101,102],[],[590],{"id":591,"createTime":592,"updateTime":593,"relativeEntities":594,"slug":595,"properties":596,"entityType":98,"verifyStatus":25,"verifyTime":606,"verifyNote":26,"syncStatus":28,"languages":607,"translateLanguages":26,"viewCount":608,"url":609,"parentIds":610,"statistic":611},"fc4c2560-868c-4677-acb1-8686bef88727","2023-06-26T04:48:23.774+00:00","2026-06-19T01:46:17.248+00:00",[],"%C4%90%E1%BA%A1i-h%E1%BB%8Dc-Qu%E1%BB%91c-gia-Th%C3%A0nh-ph%E1%BB%91-H%E1%BB%93-Ch%C3%AD-Minh",{"country":597,"title":598,"abbreviation":601,"address":603},{"VOID":15},{"EN":599,"VI":600},"Vietnam National University Ho Chi Minh City","Đại học Quốc gia Thành phố Hồ Chí Minh",{"VOID":602},"VNUHCM",{"VI":604,"EN":605},"khu phố 6, Phường Linh Trung, Thành phố Thủ Đức, Thành phố Hồ Chí Minh, Việt Nam","Quarter 6, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Vietnam","2023-08-16T14:13:07.134+00:00",[101,102],45,"https:\u002F\u002Fvnuhcm.edu.vn\u002F",[],{"impactFactor":36,"impactFactorByYear":612,"i10Index":285,"i10IndexLast5Year":51,"totalPublication":613,"totalPublicationByYear":614,"totalCitation":624,"totalCitationByYear":625,"totalCitationPerPublication":634,"totalCitationPerPublicationByYear":635,"hindexLast5Year":124,"hindex":124},{"2014":36,"2015":38,"2016":109,"2017":39,"2018":229,"2019":38,"2020":110,"2021":171,"2022":110,"2023":110,"2024":171,"2025":229},3708,{"2005":115,"2006":115,"2007":115,"2008":135,"2009":111,"2010":53,"2011":52,"2012":568,"2013":615,"2014":351,"2015":616,"2016":469,"2017":617,"2018":127,"2019":618,"2020":619,"2021":620,"2022":621,"2023":622,"2024":623,"2025":159,"2026":50},164,266,177,226,603,931,314,246,74,2399,{"2006":115,"2008":50,"2010":162,"2011":242,"2012":222,"2013":43,"2014":626,"2015":627,"2016":628,"2017":629,"2018":258,"2019":630,"2020":631,"2021":632,"2022":633,"2023":353,"2024":115},250,124,157,162,152,385,559,128,0.65,{"2006":115,"2008":636,"2010":637,"2011":638,"2012":639,"2013":522,"2014":640,"2015":641,"2016":642,"2017":643,"2018":644,"2019":642,"2020":645,"2021":292,"2022":646,"2023":522,"2024":38},1.33,0.45,2.22,0.39,1.35,0.47,0.67,0.92,0.73,0.64,0.41,[],"http:\u002F\u002Fstdjhs.scienceandtechnology.com.vn\u002Findex.php\u002Fstdjhs","\u002Fapi\u002Fpublic\u002Ffile\u002Fpublisher\u002F19221551-7519-47ff-a892-331d1139c64b\u002F2e10768b7d1e380c36a25ed0c714dd7e.png",{"impactFactor":36,"impactFactorByYear":651,"i10Index":36,"i10IndexLast5Year":36,"totalPublication":652,"totalPublicationByYear":653,"totalCitation":516,"totalCitationByYear":654,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":655,"hindexLast5Year":59,"hindex":59},{"2022":57,"2023":108,"2024":39},79,{"2020":116,"2021":240,"2022":239,"2023":52,"2024":162,"2025":162},{"2020":59,"2021":51,"2022":59},{"2020":443,"2021":387,"2022":54},{"code":657,"data":658,"meta":26},"SUCCESS",{"id":659,"createTime":660,"updateTime":661,"relativeEntities":662,"slug":663,"properties":664,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":669,"manageAffiliations":694,"indexDatabases":715,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},"85bd508c-1488-4fa8-80a9-076a8fbf986b","2023-12-05T05:26:24.504+00:00","2025-11-21T10:00:29.506+00:00",[],"Engineering-Applications-of-Artificial-Intelligence",{"issn":665,"title":667},{"VOID":666},"09521976",{"EN":668},"Engineering Applications of Artificial Intelligence",[670,678,686],{"id":671,"createTime":672,"updateTime":673,"relativeEntities":674,"label":675,"description":677,"parentId":26,"standard":26,"scholarHubFieldId":26},"6a3cb349-a9fc-40fb-9aa8-c9946de1e629","2023-05-29T10:24:01.672+00:00","2023-11-21T06:16:02.793+00:00",[],{"EN":676},"Artificial Intelligence",{},{"id":679,"createTime":680,"updateTime":681,"relativeEntities":682,"label":683,"description":685,"parentId":26,"standard":26,"scholarHubFieldId":26},"3ca6493e-aecd-4733-965c-52fbf88fe329","2023-05-29T10:24:06.812+00:00","2023-11-21T07:36:36.362+00:00",[],{"EN":684},"Electrical and Electronic Engineering",{},{"id":687,"createTime":688,"updateTime":689,"relativeEntities":690,"label":691,"description":693,"parentId":26,"standard":26,"scholarHubFieldId":26},"176b8a18-7a5f-4df2-9daa-2b872083c6de","2023-05-29T10:24:06.944+00:00","2023-11-21T03:45:47.979+00:00",[],{"EN":692},"Control and Systems Engineering",{},[695,705],{"id":696,"createTime":697,"updateTime":698,"relativeEntities":699,"slug":700,"properties":701,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":103,"url":26,"parentIds":704,"statistic":26},"cbc888ff-f0a8-49ab-90e6-8acb752d4f88","2023-05-29T10:24:05.444+00:00","2025-11-21T10:07:47.637+00:00",[],"Elsevier-Ltd-",{"title":702},{"EN":703},"Elsevier Ltd.",[],{"id":706,"createTime":707,"updateTime":708,"relativeEntities":709,"slug":710,"properties":711,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":356,"url":26,"parentIds":714,"statistic":26},"4255270c-c84d-4cec-8432-a117a0ce9d06","2023-05-29T12:06:34.002+00:00","2024-02-23T03:04:34.507+00:00",[],"PERGAMON-ELSEVIER-SCIENCE-LTD",{"title":712},{"EN":713},"PERGAMON-ELSEVIER SCIENCE LTD",[],[716,737],{"id":717,"indexDatabase":718,"url":732,"indexYears":26,"academicFieldIds":733,"indexDatabaseRanking":26},"ffc3fe08-67f1-4e5c-89ba-6622c35d1fa6",{"id":719,"createTime":720,"updateTime":721,"relativeEntities":722,"label":723,"description":725,"key":728,"publicationTags":729,"standard":26},"a4921856-b128-4d9f-8f1f-e80813d3bbd4","2023-05-22T09:59:31.026+00:00","2025-11-21T10:07:52.153+00:00",[],{"EN":724,"VI":724},"ISI\u002FSCIE - Science Citation Index Expanded",{"VI":726,"EN":727},"Cơ sở dữ liệu SCIE","SCIE database","scie",[730,731],"SCIE","ISI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=0952-1976",[734,735,736],"751df115-4b08-418e-b118-c9d9a4c8e64c","1acb72da-cafe-4349-b117-01c5aabcd399","e74ee2cf-73af-4a18-b9f2-e019f875caa2",{"id":738,"indexDatabase":739,"url":751,"indexYears":752,"academicFieldIds":753,"indexDatabaseRanking":757},"5ed8fb7d-7f6b-4bf2-8392-ca3614161f53",{"id":740,"createTime":741,"updateTime":742,"relativeEntities":743,"label":744,"description":746,"key":748,"publicationTags":749,"standard":26},"3c7051d4-eb7d-4c57-a56b-36fc74c5d1e9","2023-05-22T09:57:18.509+00:00","2025-11-21T10:07:52.274+00:00",[],{"EN":745,"VI":745},"Scopus - Elsevier",{"EN":745,"VI":747},"Cơ sở dữ liệu Scopus thuộc Elsevier","scopus",[750],"SCOPUS","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F24182","1988-2025",[754,755,756],"a81768cc-7885-48eb-a85a-170d5a0a5f4f","ea95f5ee-62c8-4ccb-8e3e-d3a8bc9e97cb","cd7e8237-7356-41bf-8ef9-9ae6051e5be0","SCOPUS__Q1",{"meta":759,"data":761},{"total":760},"3110",[762,947,1862,2102,2318,2611,2894,3164,3392,3679],{"id":763,"createTime":764,"updateTime":764,"relativeEntities":765,"slug":766,"properties":767,"entityType":778,"verifyStatus":25,"verifyTime":764,"verifyNote":779,"syncStatus":28,"languages":780,"translateLanguages":26,"viewCount":36,"primaryUrl":781,"fullTextUrl":26,"authors":782,"publicationType":822,"publisherRelationship":823,"citationCount":853,"citationInfo":854,"publishDate":857,"publishYear":858,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":859,"isForceReanalyzing":946},"1faadfcb-934a-41f5-9ab7-f7386fd1913e","2024-09-02T01:30:02.516+00:00",[],"An-effective-co-evolutionary-particle-swarm-optimization-for-constrained-engineering-design-problems",{"mag":768,"keywords":770,"openalex":771,"abstract":773,"title":774,"doi":776},{"VOID":769},"2034988449",{},{"VOID":772},"W2034988449",{},{"EN":775},"An effective co-evolutionary particle swarm optimization for constrained engineering design problems",{"VOID":777},"10.1016\u002Fj.engappai.2006.03.003","PUBLICATION","Auto Verify",[102],"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0952197606000686",[783,805],{"id":784,"sortIndex":115,"researcher":26,"roles":785,"affiliations":786,"properties":798},"72c94098-8ec4-475f-bd34-e8ee2a1db073",[],[787],{"id":788,"sortIndex":36,"affiliation":789,"properties":26},"75b555d2-b416-440d-afb4-1edb5fc8f759",{"id":790,"createTime":791,"updateTime":792,"relativeEntities":793,"slug":794,"properties":795,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"250e37d0-4816-44f2-97d4-00089ea4aa11","2023-12-06T20:05:21.874+00:00","2024-09-02T01:30:02.527+00:00",[],"Department-of-Automation-Tsinghua-University-Beijing-100084-P-R-CHINA",{"title":796},{"VI":797},"Department of Automation, Tsinghua University, Beijing, 100084, P. R. CHINA",{"openalex":799,"orcid":801,"title":803},{"VOID":800},"A5100398661",{"VOID":802},"https:\u002F\u002Forcid.org\u002F0000-0001-8964-6454",{"EN":804},"Ling Wang",{"id":806,"sortIndex":36,"researcher":26,"roles":807,"affiliations":808,"properties":815},"fa3ed443-09b1-49f0-8a80-2633dacd4366",[],[809],{"id":810,"sortIndex":36,"affiliation":811,"properties":26},"3eb711d4-d2e4-459d-bb28-201dad4c64a6",{"id":790,"createTime":791,"updateTime":792,"relativeEntities":812,"slug":794,"properties":813,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":814},{"VI":797},{"openalex":816,"orcid":818,"title":820},{"VOID":817},"A5102788103",{"VOID":819},"https:\u002F\u002Forcid.org\u002F0000-0001-7405-0295",{"EN":821},"Qie He","ARTICLE",{"url":26,"publisher":824,"properties":846},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":825,"slug":663,"properties":826,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":829,"manageAffiliations":830,"indexDatabases":831,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":827,"title":828},{"VOID":666},{"EN":668},[],[],[832,839],{"id":738,"indexDatabase":833,"url":751,"indexYears":752,"academicFieldIds":838,"indexDatabaseRanking":757},{"id":740,"createTime":741,"updateTime":742,"relativeEntities":834,"label":835,"description":836,"key":748,"publicationTags":837,"standard":26},[],{"EN":745,"VI":745},{"EN":745,"VI":747},[750],[754,755,756],{"id":717,"indexDatabase":840,"url":732,"indexYears":26,"academicFieldIds":845,"indexDatabaseRanking":26},{"id":719,"createTime":720,"updateTime":721,"relativeEntities":841,"label":842,"description":843,"key":728,"publicationTags":844,"standard":26},[],{"EN":724,"VI":724},{"VI":726,"EN":727},[730,731],[734,735,736],{"volume":847,"pages":849,"issue":851},{"VOID":848},"20",{"VOID":850},"89-99",{"VOID":852},"1",1022,{"total":853,"publishYear":26,"statisticByYear":855},{"2012":397,"2013":358,"2014":286,"2015":125,"2016":45,"2017":286,"2018":29,"2019":250,"2020":536,"2021":856,"2022":126,"2023":357,"2024":48},130,"2007-02-01",2007,[860,863,866,870,874,878,882,885,888,891,894,898,901,904,908,912,915,919,922,926,929,932,935,939,943],{"id":26,"text":861,"url":26,"identifiers":862},"Arora, 1989",{},{"id":26,"text":864,"url":26,"identifiers":865},"Belegundu, 1982",{},{"id":26,"text":867,"url":26,"identifiers":868},"Coello, 2000, Use of a self-adaptive penalty approach for engineering optimization problems, Computers in Industry, 41, 113, 10.1016\u002FS0166-3615(99)00046-9",{"doi":869},"10.1016\u002FS0166-3615(99)00046-9",{"id":26,"text":871,"url":26,"identifiers":872},"Coello, 2002, Theoretical and numerical constraint handling techniques used with evolutionary algorithms: a survey of the state of the art, Computer Methods in Applied Mechanics and Engineering, 191, 1245, 10.1016\u002FS0045-7825(01)00323-1",{"doi":873},"10.1016\u002FS0045-7825(01)00323-1",{"id":26,"text":875,"url":26,"identifiers":876},"Coello, 2002, Constraint-handling in genetic algorithms through the use of dominance-based tournament selection, Advanced Engineering Informatics, 16, 193, 10.1016\u002FS1474-0346(02)00011-3",{"doi":877},"10.1016\u002FS1474-0346(02)00011-3",{"id":26,"text":879,"url":26,"identifiers":880},"Deb, 1991, Optimal design of a welded beam via genetic algorithms, AIAA Journal, 29, 2013, 10.2514\u002F3.10834",{"doi":881},"10.2514\u002F3.10834",{"id":26,"text":883,"url":26,"identifiers":884},"Deb, 1997, GeneAS: a robust optimal design technique for mechanical component design, 497",{},{"id":26,"text":886,"url":26,"identifiers":887},"Hamida, S.B., Schoenauer, M., 2002. ASCHEA: new results using adaptive segregational constraint handling. In: Fogel, D.B. et al. (Eds.), Proceedings of the 2002 Congress on Evolutionary Computation IEEE Service Center, Piscataway, NJ, pp. 884–889.",{},{"id":26,"text":889,"url":26,"identifiers":890},"Horn, J., Nafpliotis, N., Goldberg D.E., 1994. A niched pareto genetic algorithm for multiobjective optimization. In: Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, IEEE Service Center, Piscataway, NJ, pp. 82-87.",{},{"id":26,"text":892,"url":26,"identifiers":893},"Hu, 2002, Solving constrained nonlinear optimization problems with particle swarm optimization, 203",{},{"id":26,"text":895,"url":26,"identifiers":896},"Kannan, 1994, An augmented Lagrange multiplier based method for mixed integer discrete continuous optimization and its applications to mechanical design, Transactions of the ASME, Journal of Mechanical Design, 116, 318, 10.1115\u002F1.2919393",{"doi":897},"10.1115\u002F1.2919393",{"id":26,"text":899,"url":26,"identifiers":900},"Kennedy, J., Eberhart, R.C., 1995. Particle swarm optimization. In: Proceedings of the 1995 IEEE International Conference on Neural Networks, IEEE Service Center, Piscataway, NJ, pp. 1942–1948.",{},{"id":26,"text":902,"url":26,"identifiers":903},"2001",{},{"id":26,"text":905,"url":26,"identifiers":906},"Koziel, 1999, Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization, Evolutionary Computation, 7, 19, 10.1162\u002Fevco.1999.7.1.19",{"doi":907},"10.1162\u002Fevco.1999.7.1.19",{"id":26,"text":909,"url":26,"identifiers":910},"Michalewicz, Z., 1995. A survey of constraint handling techniques in evolutionary computation methods. In: McDonnell, J.R. et al. (Eds.), Proceedings of the fourth Annual Conference on Evolutionary Programming, MIT Press, Cambridge, MA, pp. 135–155.",{"doi":911},"10.7551\u002Fmitpress\u002F2887.003.0018",{"id":26,"text":913,"url":26,"identifiers":914},"Michalewicz, 1994, Evolutionary optimization of constrained problems, 98",{},{"id":26,"text":916,"url":26,"identifiers":917},"Montes, 2005, A simple multimembered evolution strategy to solve constrained optimization problems, IEEE Transactions on Evolutionary computation, 9, 1, 10.1109\u002FTEVC.2004.836819",{"doi":918},"10.1109\u002FTEVC.2004.836819",{"id":26,"text":920,"url":26,"identifiers":921},"Parsopoulos, K.E., Vrahatis, M.N., 2002. Particle swarm optimization method for constrained optimization problems. In: Kvasnička, V. et al. (Eds), Proceedings of the second Euro-International Symposium on Computational Intelligence, Košice, Slovakia, pp. 214–220.",{},{"id":26,"text":923,"url":26,"identifiers":924},"Ragsdell, 1976, Optimal design of a class of welded structures using geometric programming, ASME Journal of Engineering for Industries, 98, 1021, 10.1115\u002F1.3438995",{"doi":925},"10.1115\u002F1.3438995",{"id":26,"text":927,"url":26,"identifiers":928},"Rao, 1996",{},{"id":26,"text":930,"url":26,"identifiers":931},"Ray, T., Liew, K.M., 2001. A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimisation problems. In: Kim, J.H. et al. (Eds.), Proceedings of the 2001 Congress on Evolutionary Computation, IEEE Service Center, Piscataway, NJ, pp. 75–80.",{},{"id":26,"text":933,"url":26,"identifiers":934},"Richardson, J.T., Palmer, M.R., Liepins, G., Hilliard, M., 1989. Some guidelines for genetic algorithms with penalty functions. In: Schaffer, J.D. (Ed.), Proceedings of the Third International Conference on Genetic Algorithms, George Mason University, Morgan Kaufmann, pp. 191–197.",{},{"id":26,"text":936,"url":26,"identifiers":937},"Runarsson, 2000, Stochastic ranking for constrained evolutionary optimization, IEEE Transactions on Evolutionary Computation, 4, 284, 10.1109\u002F4235.873238",{"doi":938},"10.1109\u002F4235.873238",{"id":26,"text":940,"url":26,"identifiers":941},"Sandgren, E., 1988. Nonlinear integer and discrete programming in mechanical design. In: Proceedings of the ASME Design Technology Conference, Kissimine, FL, pp. 95–105.",{"doi":942},"10.1115\u002FDETC1988-0012",{"id":26,"text":944,"url":26,"identifiers":945},"Wang, 2001",{},false,{"id":948,"createTime":949,"updateTime":949,"relativeEntities":950,"slug":951,"properties":952,"entityType":778,"verifyStatus":25,"verifyTime":949,"verifyNote":779,"syncStatus":28,"languages":963,"translateLanguages":26,"viewCount":36,"primaryUrl":964,"fullTextUrl":26,"authors":965,"publicationType":822,"publisherRelationship":1027,"citationCount":1055,"citationInfo":1056,"publishDate":1060,"publishYear":1061,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":1062,"isForceReanalyzing":946},"ec7e1a8d-e445-4857-8a59-e98bc935512e","2024-11-26T06:07:59.210+00:00",[],"Industry-4-0-A-bibliometric-analysis-and-detailed-overview",{"mag":953,"keywords":955,"openalex":956,"abstract":958,"title":959,"doi":961},{"VOID":954},"2904029666",{},{"VOID":957},"W2904029666",{},{"EN":960},"Industry 4.0: A bibliometric analysis and detailed overview",{"VOID":962},"10.1016\u002Fj.engappai.2018.11.007",[102],"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0952197618302458",[966,988,1005],{"id":967,"sortIndex":36,"researcher":26,"roles":968,"affiliations":969,"properties":981},"6b66475a-34c4-4afd-9df7-e71025f96e2a",[],[970],{"id":971,"sortIndex":36,"affiliation":972,"properties":26},"190aa575-5be6-400f-8f37-902a547716b9",{"id":973,"createTime":974,"updateTime":975,"relativeEntities":976,"slug":977,"properties":978,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"a9c41108-196e-4c7e-87b7-67cdb4105141","2024-02-05T23:00:12.465+00:00","2024-11-26T06:07:59.242+00:00",[],"Department-of-Computer-Science-South-Asian-University-New-Delhi-110021-India",{"title":979},{"VI":980},"Department of Computer Science, South Asian University, New Delhi 110021, India",{"openalex":982,"orcid":984,"title":986},{"VOID":983},"A5003623633",{"VOID":985},"https:\u002F\u002Forcid.org\u002F0000-0001-7122-7622",{"EN":987},"Pranab K. Muhuri",{"id":989,"sortIndex":115,"researcher":26,"roles":990,"affiliations":991,"properties":998},"01f220b1-4def-48df-8214-b06554af3622",[],[992],{"id":993,"sortIndex":36,"affiliation":994,"properties":26},"b44b2c77-3a1c-4206-9c19-676ab72f3f84",{"id":973,"createTime":974,"updateTime":975,"relativeEntities":995,"slug":977,"properties":996,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":997},{"VI":980},{"openalex":999,"orcid":1001,"title":1003},{"VOID":1000},"A5028888771",{"VOID":1002},"https:\u002F\u002Forcid.org\u002F0000-0002-7581-782X",{"EN":1004},"Amit K. Shukla",{"id":1006,"sortIndex":114,"researcher":26,"roles":1007,"affiliations":1008,"properties":1020},"5f5fea6b-15dd-441c-b55c-59f46d980389",[],[1009],{"id":1010,"sortIndex":36,"affiliation":1011,"properties":26},"2f1f8b46-469d-440c-a4ec-02970c19ece1",{"id":1012,"createTime":1013,"updateTime":1014,"relativeEntities":1015,"slug":1016,"properties":1017,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"0992e0d0-d451-4e25-ab1b-28adfd790379","2024-01-11T04:33:05.626+00:00","2025-06-11T22:30:46.177+00:00",[],"Machine-Intelligence-Research-Labs-MIR-Labs-3rd-Street-NW-P-O-Box-2259-Auburn-WA-98071-USA",{"title":1018},{"VI":1019},"Machine Intelligence Research Labs (MIR Labs), 3rd Street NW, P.O. Box 2259, Auburn, WA 98071, USA",{"openalex":1021,"orcid":1023,"title":1025},{"VOID":1022},"A5087542455",{"VOID":1024},"https:\u002F\u002Forcid.org\u002F0000-0002-0169-6738",{"EN":1026},"Ajith Abraham",{"url":26,"publisher":1028,"properties":1050},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":1029,"slug":663,"properties":1030,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":1033,"manageAffiliations":1034,"indexDatabases":1035,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":1031,"title":1032},{"VOID":666},{"EN":668},[],[],[1036,1043],{"id":738,"indexDatabase":1037,"url":751,"indexYears":752,"academicFieldIds":1042,"indexDatabaseRanking":757},{"id":740,"createTime":741,"updateTime":742,"relativeEntities":1038,"label":1039,"description":1040,"key":748,"publicationTags":1041,"standard":26},[],{"EN":745,"VI":745},{"EN":745,"VI":747},[750],[754,755,756],{"id":717,"indexDatabase":1044,"url":732,"indexYears":26,"academicFieldIds":1049,"indexDatabaseRanking":26},{"id":719,"createTime":720,"updateTime":721,"relativeEntities":1045,"label":1046,"description":1047,"key":728,"publicationTags":1048,"standard":26},[],{"EN":724,"VI":724},{"VI":726,"EN":727},[730,731],[734,735,736],{"volume":1051,"pages":1053},{"VOID":1052},"78",{"VOID":1054},"218-235",455,{"total":1055,"publishYear":26,"statisticByYear":1057},{"2018":114,"2019":517,"2020":142,"2021":1058,"2022":1059,"2023":623,"2024":282},110,85,"2019-02-01",2019,[1063,1067,1071,1075,1079,1083,1087,1091,1095,1099,1103,1107,1111,1115,1119,1123,1127,1130,1134,1137,1141,1145,1149,1153,1157,1161,1165,1169,1173,1177,1180,1184,1188,1191,1195,1199,1203,1207,1211,1215,1219,1223,1227,1231,1235,1238,1242,1246,1250,1253,1256,1259,1263,1267,1270,1274,1278,1282,1286,1289,1292,1296,1300,1304,1308,1312,1316,1320,1324,1327,1331,1335,1338,1341,1345,1349,1353,1356,1360,1363,1366,1370,1374,1378,1381,1384,1388,1392,1395,1398,1402,1406,1410,1413,1416,1420,1424,1428,1432,1436,1440,1443,1447,1451,1454,1457,1461,1465,1469,1473,1477,1481,1485,1488,1492,1495,1499,1503,1506,1510,1514,1518,1522,1526,1530,1534,1538,1542,1546,1550,1553,1557,1560,1563,1567,1571,1575,1578,1582,1586,1590,1594,1598,1601,1605,1609,1613,1617,1621,1625,1629,1632,1635,1639,1643,1647,1651,1654,1658,1662,1665,1669,1673,1677,1681,1685,1688,1692,1696,1700,1704,1708,1712,1715,1719,1723,1727,1731,1735,1739,1743,1747,1751,1754,1758,1761,1764,1767,1771,1775,1778,1782,1786,1790,1794,1797,1800,1804,1808,1811,1815,1819,1822,1825,1829,1833,1837,1840,1843,1847,1851,1854,1858],{"id":26,"text":1064,"url":26,"identifiers":1065},"Adamson, 2017, Feature-based control and information framework for adaptive and distributed manufacturing in cyber physical systems, J. Manuf. Syst., 43, 305, 10.1016\u002Fj.jmsy.2016.12.003",{"doi":1066},"10.1016\u002Fj.jmsy.2016.12.003",{"id":26,"text":1068,"url":26,"identifiers":1069},"Agarwal, 2015, Strategic business transformation through technology convergence: implications from General Electric’s industrial internet initiative, Int. J. Technol. Manage., 67, 196, 10.1504\u002FIJTM.2015.068224",{"doi":1070},"10.1504\u002FIJTM.2015.068224",{"id":26,"text":1072,"url":26,"identifiers":1073},"Ai, 2017, On multi-hop decode-and-forward cooperative relaying for industrial wireless sensor networks, Sensors, 17, 695, 10.3390\u002Fs17040695",{"doi":1074},"10.3390\u002Fs17040695",{"id":26,"text":1076,"url":26,"identifiers":1077},"Alexandre, 2017, Application of industry 4.0 technologies to the design and manufacturing of handicraft products, DYNA, 92, 435, 10.6036\u002F8169",{"doi":1078},"10.6036\u002F8169",{"id":26,"text":1080,"url":26,"identifiers":1081},"Alexopoulos, 2016, A concept for context-aware computing in manufacturing: the white goods case, Int. J. Comput. Integr. Manuf., 29, 839, 10.1080\u002F0951192X.2015.1130257",{"doi":1082},"10.1080\u002F0951192X.2015.1130257",{"id":26,"text":1084,"url":26,"identifiers":1085},"Almada-Lobo, 2016, The Industry 4.0 revolution and the future of manufacturing execution systems (MES), J. Innov. Manage., 3, 16, 10.24840\u002F2183-0606_003.004_0003",{"doi":1086},"10.24840\u002F2183-0606_003.004_0003",{"id":26,"text":1088,"url":26,"identifiers":1089},"Ang, 2017, Energy-Efficient through-life smart design, manufacturing and operation of ships in an industry 4.0 environment, Energies, 10, 610, 10.3390\u002Fen10050610",{"doi":1090},"10.3390\u002Fen10050610",{"id":26,"text":1092,"url":26,"identifiers":1093},"Arnott, 2005, A critical analysis of decision support systems research, J. Inf. Technol., 20, 67, 10.1057\u002Fpalgrave.jit.2000035",{"doi":1094},"10.1057\u002Fpalgrave.jit.2000035",{"id":26,"text":1096,"url":26,"identifiers":1097},"Attanasio, 2017, Tool run-out measurement in micro milling, Micromachines, 8, 221, 10.3390\u002Fmi8070221",{"doi":1098},"10.3390\u002Fmi8070221",{"id":26,"text":1100,"url":26,"identifiers":1101},"Baccarelli, 2017, Fog of everything: Energy-efficient networked computing architectures, research challenges, and a case study, IEEE Access, 10.1109\u002FACCESS.2017.2702013",{"doi":1102},"10.1109\u002FACCESS.2017.2702013",{"id":26,"text":1104,"url":26,"identifiers":1105},"Bagheri, 2015, Cyber-physical systems architecture for self-aware machines in industry 4.0 environment, IFAC-PapersOnLine, 48, 1622, 10.1016\u002Fj.ifacol.2015.06.318",{"doi":1106},"10.1016\u002Fj.ifacol.2015.06.318",{"id":26,"text":1108,"url":26,"identifiers":1109},"Balog, 2016, Effect verification of external factor to readability of RFID transponder using least square method, Measurement, 94, 233, 10.1016\u002Fj.measurement.2016.07.088",{"doi":1110},"10.1016\u002Fj.measurement.2016.07.088",{"id":26,"text":1112,"url":26,"identifiers":1113},"Bangemann, 2016, Integration of classical components into industrial cyber–physical systems, Proc. IEEE, 104, 947, 10.1109\u002FJPROC.2015.2510981",{"doi":1114},"10.1109\u002FJPROC.2015.2510981",{"id":26,"text":1116,"url":26,"identifiers":1117},"Barkalov, 2017, Fault detection variants of the cloudbus protocol for IoT distributed embedded systems, Adv. Electr. Comput. Eng., 17, 3, 10.4316\u002FAECE.2017.02001",{"doi":1118},"10.4316\u002FAECE.2017.02001",{"id":26,"text":1120,"url":26,"identifiers":1121},"Batista, 2017, Services enabler architecture for smart grid and smart living services providers under industry 4.0, Energy Build., 141, 16, 10.1016\u002Fj.enbuild.2017.02.039",{"doi":1122},"10.1016\u002Fj.enbuild.2017.02.039",{"id":26,"text":1124,"url":26,"identifiers":1125},"Beyerer, 2015, Industrie 4.0, at-Automatisierungstechnik, 63, 751, 10.1515\u002Fauto-2015-0068",{"doi":1126},"10.1515\u002Fauto-2015-0068",{"id":26,"text":1128,"url":26,"identifiers":1129},"Blanco-Mesa, 2016, A bibliometric analysis of fuzzy decision making research, 1",{},{"id":26,"text":1131,"url":26,"identifiers":1132},"Bohács, 2017, Development of an ontology-driven, component based framework for the implementation of adaptiveness in a Jellyfish-type simulation model, J. Ambient Intell. Smart Environ., 9, 361, 10.3233\u002FAIS-170437",{"doi":1133},"10.3233\u002FAIS-170437",{"id":26,"text":1135,"url":26,"identifiers":1136},"Boorla, 2017, Quantifying the robustness of process manufacturing concept-A medical product case study, Adv. Prod. Eng. Manag., 12",{},{"id":26,"text":1138,"url":26,"identifiers":1139},"Bortolini, 2017, Assembly system design in the Industry 4.0 era: a general framework, IFAC-PapersOnLine, 50, 5700, 10.1016\u002Fj.ifacol.2017.08.1121",{"doi":1140},"10.1016\u002Fj.ifacol.2017.08.1121",{"id":26,"text":1142,"url":26,"identifiers":1143},"Broadus, 1987, Toward a definition of bibliometrics, Scientometrics, 12, 373, 10.1007\u002FBF02016680",{"doi":1144},"10.1007\u002FBF02016680",{"id":26,"text":1146,"url":26,"identifiers":1147},"Bukata, 2017, Energy optimization of robotic cells, IEEE Trans. Ind. Inf., 13, 92, 10.1109\u002FTII.2016.2626472",{"doi":1148},"10.1109\u002FTII.2016.2626472",{"id":26,"text":1150,"url":26,"identifiers":1151},"Cai, 2016, A delay-aware wireless sensor network routing protocol for industrial applications, Mobile Netw. Appl., 21, 879, 10.1007\u002Fs11036-016-0707-7",{"doi":1152},"10.1007\u002Fs11036-016-0707-7",{"id":26,"text":1154,"url":26,"identifiers":1155},"Cao, 2017, The concept and progress of intelligent spindles: a review, Int. J. Mach. Tools Manuf., 112, 21, 10.1016\u002Fj.ijmachtools.2016.10.005",{"doi":1156},"10.1016\u002Fj.ijmachtools.2016.10.005",{"id":26,"text":1158,"url":26,"identifiers":1159},"Chen, 2016, Form gene clustering method about pan-ethnic-group products based on emotional semantic, Chin. J. Mech. Eng., 29, 1134, 10.3901\u002FCJME.2016.0719.083",{"doi":1160},"10.3901\u002FCJME.2016.0719.083",{"id":26,"text":1162,"url":26,"identifiers":1163},"Chen, 2017, Feasibility evaluation and optimization of a smart manufacturing system based on 3D printing: A review, Int. J. Intell. Syst., 32, 394, 10.1002\u002Fint.21866",{"doi":1164},"10.1002\u002Fint.21866",{"id":26,"text":1166,"url":26,"identifiers":1167},"Chen, 2017, Intelligent computer-aided process planning of multi-axis CNC tapping machine, IEEE Access, 5, 2913, 10.1109\u002FACCESS.2017.2671864",{"doi":1168},"10.1109\u002FACCESS.2017.2671864",{"id":26,"text":1170,"url":26,"identifiers":1171},"Chen, 2017, Ubiquitous manufacturing: Current practices, challenges, and opportunities, Robot. Comput.-Integr. Manuf., 45, 126, 10.1016\u002Fj.rcim.2016.01.001",{"doi":1172},"10.1016\u002Fj.rcim.2016.01.001",{"id":26,"text":1174,"url":26,"identifiers":1175},"Cheng, 2017, Smart cutting tools and smart machining: Development approaches, and their implementation and application perspectives, Chin. J. Mech. Eng., 30, 1162, 10.1007\u002Fs10033-017-0183-4",{"doi":1176},"10.1007\u002Fs10033-017-0183-4",{"id":26,"text":1178,"url":26,"identifiers":1179},"Chiang, 2017, Big data analytics in chemical engineering, Ann. Rev. Chem. Biomol. Eng.",{},{"id":26,"text":1181,"url":26,"identifiers":1182},"Chien, 2016, A novel route selection and resource allocation approach to improve the efficiency of manual material handling system in 200-mm wafer fabs for industry 35, IEEE Trans. Autom. Sci. Eng., 13, 1567, 10.1109\u002FTASE.2016.2583659",{"doi":1183},"10.1109\u002FTASE.2016.2583659",{"id":26,"text":1185,"url":26,"identifiers":1186},"Chou, 2017, A block recognition system constructed by using a novel projection algorithm and convolution neural networks, IEEE Access, 5, 23891, 10.1109\u002FACCESS.2017.2762526",{"doi":1187},"10.1109\u002FACCESS.2017.2762526",{"id":26,"text":1189,"url":26,"identifiers":1190},"Chung, 2016, The internet information and technology research directions based on the fourth industrial revolution, KSII Trans. Internet Inf. Syst., 10",{},{"id":26,"text":1192,"url":26,"identifiers":1193},"Cobo, 2015, 25years at Knowledge-Based Systems: A bibliometric analysis, Knowl.-Based Syst., 80, 3, 10.1016\u002Fj.knosys.2014.12.035",{"doi":1194},"10.1016\u002Fj.knosys.2014.12.035",{"id":26,"text":1196,"url":26,"identifiers":1197},"Condry, 2016, Using smart edge IoT devices for safer, rapid response with industry IoT control operations, Proc. IEEE, 104, 938, 10.1109\u002FJPROC.2015.2513672",{"doi":1198},"10.1109\u002FJPROC.2015.2513672",{"id":26,"text":1200,"url":26,"identifiers":1201},"Demartini, 2017, Do web 4.0 and industry 4.0 imply education X. 0?, IT Prof., 19, 4, 10.1109\u002FMITP.2017.47",{"doi":1202},"10.1109\u002FMITP.2017.47",{"id":26,"text":1204,"url":26,"identifiers":1205},"Diedrich, 2016, Engineering and integration of automation devices in I40 systems, at-Automatisierungstechnik, 64, 41, 10.1515\u002Fauto-2015-0018",{"doi":1206},"10.1515\u002Fauto-2015-0018",{"id":26,"text":1208,"url":26,"identifiers":1209},"Ding, 2017, Performance improvement of kinect software development kit–constructed speech recognition using a client–server sensor fusion strategy for smart human–computer interface control applications, IEEE Access, 5, 4154, 10.1109\u002FACCESS.2017.2679116",{"doi":1210},"10.1109\u002FACCESS.2017.2679116",{"id":26,"text":1212,"url":26,"identifiers":1213},"Dombrowski, 2014, Mental strain as field of action in the 4th industrial revolution, Procedia CIRP, 17, 100, 10.1016\u002Fj.procir.2014.01.077",{"doi":1214},"10.1016\u002Fj.procir.2014.01.077",{"id":26,"text":1216,"url":26,"identifiers":1217},"Faller, 2015, Industry 4.0 learning factory for regional SMEs, Procedia CIRP, 32, 88, 10.1016\u002Fj.procir.2015.02.117",{"doi":1218},"10.1016\u002Fj.procir.2015.02.117",{"id":26,"text":1220,"url":26,"identifiers":1221},"Fengque, 2017, Research on design of the smart factory for forging enterprise in the industry 4.0 environment, Mechanics, 23, 146, 10.5755\u002Fj01.mech.23.1.13662",{"doi":1222},"10.5755\u002Fj01.mech.23.1.13662",{"id":26,"text":1224,"url":26,"identifiers":1225},"Flatscher, 2016, Stakeholder integration for the successful product–process co-design for next-generation manufacturing technologies, CIRP Ann.-Manuf. Technol., 65, 181, 10.1016\u002Fj.cirp.2016.04.055",{"doi":1226},"10.1016\u002Fj.cirp.2016.04.055",{"id":26,"text":1228,"url":26,"identifiers":1229},"Fraga-Lamas, 2016, Smart pipe system for a shipyard 4.0, Sensors, 16, 2186, 10.3390\u002Fs16122186",{"doi":1230},"10.3390\u002Fs16122186",{"id":26,"text":1232,"url":26,"identifiers":1233},"Francalanza, 2017, A knowledge-based tool for designing cyber physical production systems, Comput. Ind., 84, 39, 10.1016\u002Fj.compind.2016.08.001",{"doi":1234},"10.1016\u002Fj.compind.2016.08.001",{"id":26,"text":1236,"url":26,"identifiers":1237},"French, 2017, Intelligent sensing for robotic re-manufacturing in aerospace—An industry 4.0 design based prototype, 272",{},{"id":26,"text":1239,"url":26,"identifiers":1240},"Fuchs, A., 2016. Industrial Trucks in the Age of Industry 4.0.",{"doi":1241},"10.1007\u002Fs41321-016-0520-z",{"id":26,"text":1243,"url":26,"identifiers":1244},"Gentner, 2016, Industry 4.0: Reality, future or just science fiction? how to convince today’s management to invest in tomorrow’s future! successful strategies for industry 4.0 and manufacturing IT, Chimia Int. J. Chem., 70, 628, 10.2533\u002Fchimia.2016.628",{"doi":1245},"10.2533\u002Fchimia.2016.628",{"id":26,"text":1247,"url":26,"identifiers":1248},"Giannetti, 2016, Risk based uncertainty quantification to improve robustness of manufacturing operations, Comput. Ind. Eng., 101, 70, 10.1016\u002Fj.cie.2016.08.002",{"doi":1249},"10.1016\u002Fj.cie.2016.08.002",{"id":26,"text":1251,"url":26,"identifiers":1252},"Gorecky, 2017, Introduction and establishment of virtual training in the factory of the future, Int. J. Comput. Integr. Manuf., 30, 182",{},{"id":26,"text":1254,"url":26,"identifiers":1255},"Gorecky, 2014, Human-machine-interaction in the industry 4.0 era, 289",{},{"id":26,"text":1257,"url":26,"identifiers":1258},"Götz, 2017, Clusters and Industry 4.0–do they fit together?, Eur. Plann. Stud., 1",{},{"id":26,"text":1260,"url":26,"identifiers":1261},"Grundstein, 2017, A new method for autonomous control of complex job shops–Integrating order release, sequencing and capacity control to meet due dates, J. Manuf. Syst., 42, 11, 10.1016\u002Fj.jmsy.2016.10.006",{"doi":1262},"10.1016\u002Fj.jmsy.2016.10.006",{"id":26,"text":1264,"url":26,"identifiers":1265},"Guo, 2017, Experimental dynamic analysis of a breathing cracked rotor, Chin. J. Mech. Eng., 30, 1177, 10.1007\u002Fs10033-017-0180-7",{"doi":1266},"10.1007\u002Fs10033-017-0180-7",{"id":26,"text":1268,"url":26,"identifiers":1269},"Gutierrez-Guerrero, 2017, iMMAS an industrial meta-model for automation system using OPC UA, Electron. Electr. Eng., 23",{},{"id":26,"text":1271,"url":26,"identifiers":1272},"Haller, 2017, Using sensitivity analysis and cross-association for the design of intrusion detection systems in industrial cyber-physical systems, IEEE Access, 10.1109\u002FACCESS.2017.2703906",{"doi":1273},"10.1109\u002FACCESS.2017.2703906",{"id":26,"text":1275,"url":26,"identifiers":1276},"Harrison, 2016, Engineering methods and tools for cyber–physical automation systems, Proc. IEEE, 104, 973, 10.1109\u002FJPROC.2015.2510665",{"doi":1277},"10.1109\u002FJPROC.2015.2510665",{"id":26,"text":1279,"url":26,"identifiers":1280},"Harrison, 2016, Engineering the smart factory, Chin. J. Mech. Eng., 29, 1046, 10.3901\u002FCJME.2016.0908.109",{"doi":1281},"10.3901\u002FCJME.2016.0908.109",{"id":26,"text":1283,"url":26,"identifiers":1284},"He, 2017, Locality-aware replacement algorithm in flash memory to optimize cloud computing for smart factory of industry 4.0, IEEE Access, 5, 16252, 10.1109\u002FACCESS.2017.2740327",{"doi":1285},"10.1109\u002FACCESS.2017.2740327",{"id":26,"text":1287,"url":26,"identifiers":1288},"Heck, 1986, Six decades of The accounting review: a summary of author and institutional contributors, Account. Rev., 735",{},{"id":26,"text":1290,"url":26,"identifiers":1291},"Hermann, 2016, Design principles for industrie 4.0 scenarios, 3928",{},{"id":26,"text":1293,"url":26,"identifiers":1294},"Himstedt, 2017, Online semantic mapping of logistic environments using RGB-D cameras, Int. J. Adv. Robot. Syst., 14, 10.1177\u002F1729881417720781",{"doi":1295},"10.1177\u002F1729881417720781",{"id":26,"text":1297,"url":26,"identifiers":1298},"Hoeme, 2015, Semantic Industry: Challenges for computerized information processing in Industrie 4.0, at-Automatisierungstechnik, 63, 74, 10.1515\u002Fauto-2014-1142",{"doi":1299},"10.1515\u002Fauto-2014-1142",{"id":26,"text":1301,"url":26,"identifiers":1302},"Hofmann, 2017, Industry 4.0 and the current status as well as future prospects on logistics, Comput. Ind., 89, 23, 10.1016\u002Fj.compind.2017.04.002",{"doi":1303},"10.1016\u002Fj.compind.2017.04.002",{"id":26,"text":1305,"url":26,"identifiers":1306},"Hortelano, 2017, From sensor networks to internet of things Bluetooth low energy, a standard for this evolution, Sensors, 17, 372, 10.3390\u002Fs17020372",{"doi":1307},"10.3390\u002Fs17020372",{"id":26,"text":1309,"url":26,"identifiers":1310},"Hsieh, 2017, Equipment utilization enhancement in photolithography area through a dynamic system control using multi-fidelity simulation optimization with big data technique, IEEE Trans. Semicond. Manuf., 30, 166, 10.1109\u002FTSM.2017.2693259",{"doi":1311},"10.1109\u002FTSM.2017.2693259",{"id":26,"text":1313,"url":26,"identifiers":1314},"Hsu, 2017, Real-time near-optimal scheduling with rolling horizon for automatic manufacturing cell, IEEE Access, 5, 3369, 10.1109\u002FACCESS.2016.2616366",{"doi":1315},"10.1109\u002FACCESS.2016.2616366",{"id":26,"text":1317,"url":26,"identifiers":1318},"Huang, 2015, A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’, Scientometrics, 105, 2005, 10.1007\u002Fs11192-015-1638-y",{"doi":1319},"10.1007\u002Fs11192-015-1638-y",{"id":26,"text":1321,"url":26,"identifiers":1322},"Huang, 2017, Planning community energy system in the industry 4.0 era: Achievements, challenges and a potential solution, Renewable Sustainable Energy Rev., 78, 710, 10.1016\u002Fj.rser.2017.04.004",{"doi":1323},"10.1016\u002Fj.rser.2017.04.004",{"id":26,"text":1325,"url":26,"identifiers":1326},"Imtiaz, 2013, Scalability of OPC-UA down to the chip level enables “Internet of Things”, 500",{},{"id":26,"text":1328,"url":26,"identifiers":1329},"Ivanov, 2016, A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0, Int. J. Prod. Res., 54, 386, 10.1080\u002F00207543.2014.999958",{"doi":1330},"10.1080\u002F00207543.2014.999958",{"id":26,"text":1332,"url":26,"identifiers":1333},"Janmaijaya, 2018, A scientometric study of neurocomputing publications (1992–2018): An aerial overview of intrinsic structure, Publications, 6, 32, 10.3390\u002Fpublications6030032",{"doi":1334},"10.3390\u002Fpublications6030032",{"id":26,"text":1336,"url":26,"identifiers":1337},"Jardim-Goncalves, R., Romero, D., Grilo, A., 2017. Factories of the future: challenges and leading innovations in intelligent manufacturing.",{},{"id":26,"text":1339,"url":26,"identifiers":1340},"Jazdi, 2014, Cyber physical systems in the context of Industry 4.0, 1",{},{"id":26,"text":1342,"url":26,"identifiers":1343},"Ji, 2016, Device data ingestion for industrial big data platforms with a case study, Sensors, 16, 279, 10.3390\u002Fs16030279",{"doi":1344},"10.3390\u002Fs16030279",{"id":26,"text":1346,"url":26,"identifiers":1347},"Ji, 2016, Digital management technology and its application to investment casting enterprises, China Foundry, 13, 301, 10.1007\u002Fs41230-016-6011-0",{"doi":1348},"10.1007\u002Fs41230-016-6011-0",{"id":26,"text":1350,"url":26,"identifiers":1351},"Jirkovský, 2017, Understanding data heterogeneity in the context of cyber-physical systems integration, IEEE Trans. Ind. Inf., 13, 660, 10.1109\u002FTII.2016.2596101",{"doi":1352},"10.1109\u002FTII.2016.2596101",{"id":26,"text":1354,"url":26,"identifiers":1355},"Jopp, K., 2013. Industry 4.0: The Growing Together of real and virtual Worlds The Internet of Things drives the fourth industrial Revolution.",{},{"id":26,"text":1357,"url":26,"identifiers":1358},"Kadera, 2017, Performance modeling extension of directory facilitator for enhancing communication in FIPA-compliant multiagent systems, IEEE Trans. Ind. Inf., 13, 688, 10.1109\u002FTII.2016.2601918",{"doi":1359},"10.1109\u002FTII.2016.2601918",{"id":26,"text":1361,"url":26,"identifiers":1362},"Kagermann, 2015, Change through digitization—Value creation in the age of Industry 4.0, 23",{},{"id":26,"text":1364,"url":26,"identifiers":1365},"Kagermann, 2011, Industrie 4.0: Mit dem internet der dinge auf dem weg zur 4. industriellen revolution, VDI Nachr., 13, 11",{},{"id":26,"text":1367,"url":26,"identifiers":1368},"Kaihara, 2017, Simulation model study for manufacturing effectiveness evaluation in crowdsourced manufacturing, CIRP Ann., 66, 445, 10.1016\u002Fj.cirp.2017.04.094",{"doi":1369},"10.1016\u002Fj.cirp.2017.04.094",{"id":26,"text":1371,"url":26,"identifiers":1372},"Kang, 2016, Smart manufacturing: Past research, present findings, and future directions, Int. J. Precis. Eng. Manuf.-Green Technol., 3, 111, 10.1007\u002Fs40684-016-0015-5",{"doi":1373},"10.1007\u002Fs40684-016-0015-5",{"id":26,"text":1375,"url":26,"identifiers":1376},"Karaköse, 2017, A cyberphysical system based mass-customization approach with integration of industry 4.0 and smart city, Wireless Commun. Mobile Comput., 2017, 10.1155\u002F2017\u002F1058081",{"doi":1377},"10.1155\u002F2017\u002F1058081",{"id":26,"text":1379,"url":26,"identifiers":1380},"Khare, 2017, Potential for data analytics opportunities in SMART chemical Industry, Chim. Oggi-Chem. Today, 35, 60",{},{"id":26,"text":1382,"url":26,"identifiers":1383},"Kirschneck, 2017, End-to-end continuous manufacturing: chemical synthesis, workup and liquid formulation, Chim. Oggi-Chem. Today, 35, 28",{},{"id":26,"text":1385,"url":26,"identifiers":1386},"Kleineidam, 2016, The cellular approach: smart energy region Wunsiedel. Testbed for smart grid, smart metering and smart home solutions, Electr. Eng., 98, 335, 10.1007\u002Fs00202-016-0417-y",{"doi":1387},"10.1007\u002Fs00202-016-0417-y",{"id":26,"text":1389,"url":26,"identifiers":1390},"Kobara, 2016, Cyber physical security for industrial control systems and IoT, IEICE Trans. Inf. Syst., 99, 787, 10.1587\u002Ftransinf.2015ICI0001",{"doi":1391},"10.1587\u002Ftransinf.2015ICI0001",{"id":26,"text":1393,"url":26,"identifiers":1394},"Koenig, B., 2017a. Faurecia and and Industry 4.0.",{},{"id":26,"text":1396,"url":26,"identifiers":1397},"Koenig, 2017, Presetters provide head start on industry 4.0, Manuf. Eng., 159, 51",{},{"id":26,"text":1399,"url":26,"identifiers":1400},"Kohlert, 2016, Advanced multi-sensory process data analysis and on-line evaluation by innovative human-machine-based process monitoring and control for yield optimization in polymer film industry, tm-Tech. Messen, 83, 474, 10.1515\u002Fteme-2015-0120",{"doi":1401},"10.1515\u002Fteme-2015-0120",{"id":26,"text":1403,"url":26,"identifiers":1404},"Kolberg, 2017, Towards a lean automation interface for workstations, Int. J. Prod. Res., 55, 2845, 10.1080\u002F00207543.2016.1223384",{"doi":1405},"10.1080\u002F00207543.2016.1223384",{"id":26,"text":1407,"url":26,"identifiers":1408},"Kolberg, 2015, Lean automation enabled by industry 4.0 technologies, IFAC-PapersOnLine, 48, 1870, 10.1016\u002Fj.ifacol.2015.06.359",{"doi":1409},"10.1016\u002Fj.ifacol.2015.06.359",{"id":26,"text":1411,"url":26,"identifiers":1412},"Kongchuenjai, 2017, An integer programming approach for process planning for mixed-model parts manufacturing on a CNC machining center, Adv. Prod. Eng. Manage., 12",{},{"id":26,"text":1414,"url":26,"identifiers":1415},"Kube, G., Rinn, T., 2014. Industry 4.0-The next revolution in the industrial sector.",{},{"id":26,"text":1417,"url":26,"identifiers":1418},"Kymäläinen, 2017, A creative prototype illustrating the ambient user experience of an intelligent future factory, J. Ambient Intell. Smart Environ., 9, 41, 10.3233\u002FAIS-160417",{"doi":1419},"10.3233\u002FAIS-160417",{"id":26,"text":1421,"url":26,"identifiers":1422},"Laengle, 2017, Forty years of the European Journal of Operational Research: A bibliometric overview, European J. Oper. Res., 10.1016\u002Fj.ejor.2017.04.027",{"doi":1423},"10.1016\u002Fj.ejor.2017.04.027",{"id":26,"text":1425,"url":26,"identifiers":1426},"Lalanda, 2017, Autonomic mediation middleware for smart manufacturing, IEEE Internet Comput., 21, 32, 10.1109\u002FMIC.2017.18",{"doi":1427},"10.1109\u002FMIC.2017.18",{"id":26,"text":1429,"url":26,"identifiers":1430},"Lasi, 2014, Industry 4.0, Bus. Inf. Syst. Eng., 6, 239, 10.1007\u002Fs12599-014-0334-4",{"doi":1431},"10.1007\u002Fs12599-014-0334-4",{"id":26,"text":1433,"url":26,"identifiers":1434},"Lee, 2015, A cyber-physical systems architecture for industry 4.0-based manufacturing systems, Manuf. Lett., 3, 18, 10.1016\u002Fj.mfglet.2014.12.001",{"doi":1435},"10.1016\u002Fj.mfglet.2014.12.001",{"id":26,"text":1437,"url":26,"identifiers":1438},"Lee, 2014, Service innovation and smart analytics for industry 4.0 and big data environment, Proc. CIRP, 16, 3, 10.1016\u002Fj.procir.2014.02.001",{"doi":1439},"10.1016\u002Fj.procir.2014.02.001",{"id":26,"text":1441,"url":26,"identifiers":1442},"Lee, M.X., Lee, Y.C., Chou, C.J., 2017. Essential Implications of the Digital Transformation in Industry 4.0.",{},{"id":26,"text":1444,"url":26,"identifiers":1445},"Lee, 2017, A real time object recognition and counting system for smart industrial camera sensor, IEEE Sens. J., 17, 2516, 10.1109\u002FJSEN.2017.2671457",{"doi":1446},"10.1109\u002FJSEN.2017.2671457",{"id":26,"text":1448,"url":26,"identifiers":1449},"Li, 2017, A review of industrial wireless networks in the context of industry 4.0, Wireless Netw., 23, 23, 10.1007\u002Fs11276-015-1133-7",{"doi":1450},"10.1007\u002Fs11276-015-1133-7",{"id":26,"text":1452,"url":26,"identifiers":1453},"Li, 2017, A three-dimensional adaptive PSO-based packing algorithm for an IoT-based automated e-fulfillment packaging system, IEEE Access",{},{"id":26,"text":1455,"url":26,"identifiers":1456},"Li, 2017, A big data enabled load-balancing control for smart manufacturing of Industry 4.0, Cluster Comput., 1",{},{"id":26,"text":1458,"url":26,"identifiers":1459},"Liao, 2017, Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal, Int. J. Prod. Res., 55, 3609, 10.1080\u002F00207543.2017.1308576",{"doi":1460},"10.1080\u002F00207543.2017.1308576",{"id":26,"text":1462,"url":26,"identifiers":1463},"Lin, 2016, Autonomous channel switching: Towards efficient spectrum sharing for industrial wireless sensor networks, IEEE Internet Things J., 3, 231, 10.1109\u002FJIOT.2015.2490544",{"doi":1464},"10.1109\u002FJIOT.2015.2490544",{"id":26,"text":1466,"url":26,"identifiers":1467},"Lin, 2016, Key design of driving industry 4.0: joint energy-efficient deployment and scheduling in group-based industrial wireless sensor networks, IEEE Commun. Mag., 54, 46, 10.1109\u002FMCOM.2016.7588228",{"doi":1468},"10.1109\u002FMCOM.2016.7588228",{"id":26,"text":1470,"url":26,"identifiers":1471},"Lin, 2017, A cross-strait comparison of innovation policy under industry 4.0 and sustainability development transition, Sustainability, 9, 786, 10.3390\u002Fsu9050786",{"doi":1472},"10.3390\u002Fsu9050786",{"id":26,"text":1474,"url":26,"identifiers":1475},"Liu, 2016, A crowdsourcing design framework for concept generation, CIRP Ann.-Manuf. Technol., 65, 177, 10.1016\u002Fj.cirp.2016.04.021",{"doi":1476},"10.1016\u002Fj.cirp.2016.04.021",{"id":26,"text":1478,"url":26,"identifiers":1479},"Liu, 2017, Industry 4.0 and cloud manufacturing: A comparative analysis, J. Manuf. Sci. Eng., 139, 034701, 10.1115\u002F1.4034667",{"doi":1480},"10.1115\u002F1.4034667",{"id":26,"text":1482,"url":26,"identifiers":1483},"Liu, 2017, Application modes of cloud manufacturing and program analysis, J. Mech. Sci. Technol., 31, 157, 10.1007\u002Fs12206-016-1215-1",{"doi":1484},"10.1007\u002Fs12206-016-1215-1",{"id":26,"text":1486,"url":26,"identifiers":1487},"Lobo, 2016, Industry 4.0: What does it mean to the semiconductor industry?, Solid State Technol., 59, 18",{},{"id":26,"text":1489,"url":26,"identifiers":1490},"Loock, 2015, Heuristics in organizations: A review and a research agenda, J. Bus. Res., 68, 2027, 10.1016\u002Fj.jbusres.2015.02.016",{"doi":1491},"10.1016\u002Fj.jbusres.2015.02.016",{"id":26,"text":1493,"url":26,"identifiers":1494},"Lotzmann, 2017, For industry 4.0, visualization and machine learning can be combined to enhance laser processing, Laser Focus World, 53, 87",{},{"id":26,"text":1496,"url":26,"identifiers":1497},"Lv, 2017, Design an intelligent real-time operation planning system in distributed manufacturing network, Ind. Manage. Data Syst., 117, 742, 10.1108\u002FIMDS-06-2016-0220",{"doi":1498},"10.1108\u002FIMDS-06-2016-0220",{"id":26,"text":1500,"url":26,"identifiers":1501},"Ma, 2017, SLAE–CPS: Smart lean automation engine enabled by cyber-physical systems technologies, Sensors, 17, 1500, 10.3390\u002Fs17071500",{"doi":1502},"10.3390\u002Fs17071500",{"id":26,"text":1504,"url":26,"identifiers":1505},"Majeed, 2017, Internet of things (IoT) embedded future supply chains for industry 4.0: An assessment from an ERP-based fashion apparel and footwear industry, Int. J. Supply Chain Manage., 6, 25",{},{"id":26,"text":1507,"url":26,"identifiers":1508},"Marques, 2017, Decentralized decision support for intelligent manufacturing in Industry 4.0, J. Ambient Intell. Smart Environ., 9, 299, 10.3233\u002FAIS-170436",{"doi":1509},"10.3233\u002FAIS-170436",{"id":26,"text":1511,"url":26,"identifiers":1512},"Martinez, 2017, I3Mote: An open development platform for the intelligent industrial internet, Sensors, 17, 986, 10.3390\u002Fs17050986",{"doi":1513},"10.3390\u002Fs17050986",{"id":26,"text":1515,"url":26,"identifiers":1516},"Mladineo, 2017, Solving partner selection problem in cyber-physical production networks using the HUMANT algorithm, Int. J. Prod. Res., 55, 2506, 10.1080\u002F00207543.2016.1234084",{"doi":1517},"10.1080\u002F00207543.2016.1234084",{"id":26,"text":1519,"url":26,"identifiers":1520},"Monostori, 2014, Cyber-physical production systems: Roots, expectations and R & D challenges, Proc. CIRP, 17, 9, 10.1016\u002Fj.procir.2014.03.115",{"doi":1521},"10.1016\u002Fj.procir.2014.03.115",{"id":26,"text":1523,"url":26,"identifiers":1524},"Monostori, 2016, Cyber-physical systems in manufacturing, CIRP Ann.-Manuf. Technol., 65, 621, 10.1016\u002Fj.cirp.2016.06.005",{"doi":1525},"10.1016\u002Fj.cirp.2016.06.005",{"id":26,"text":1527,"url":26,"identifiers":1528},"Mosterman, 2016, Industry 4.0 as a cyber-physical system study, Softw. Syst. Model., 15, 17, 10.1007\u002Fs10270-015-0493-x",{"doi":1529},"10.1007\u002Fs10270-015-0493-x",{"id":26,"text":1531,"url":26,"identifiers":1532},"Mothes, 2015, No-regret solutions–modular production concepts for times of complexity and uncertainty, ChemBioEng Rev., 2, 423, 10.1002\u002Fcben.201500023",{"doi":1533},"10.1002\u002Fcben.201500023",{"id":26,"text":1535,"url":26,"identifiers":1536},"Mueller, 2017, Challenges and requirements for the application of industry 4.0: A special insight with the usage of cyber-physical system, Chin. J. Mech. Eng., 30, 1050, 10.1007\u002Fs10033-017-0164-7",{"doi":1537},"10.1007\u002Fs10033-017-0164-7",{"id":26,"text":1539,"url":26,"identifiers":1540},"Muhuri, 2018, Applied soft computing: A bibliometric analysis of the publications and citations during (2004–2016), Appl. Soft Comput., 69, 381, 10.1016\u002Fj.asoc.2018.03.041",{"doi":1541},"10.1016\u002Fj.asoc.2018.03.041",{"id":26,"text":1543,"url":26,"identifiers":1544},"Oesterreich, 2016, Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry, Comput. Ind., 83, 121, 10.1016\u002Fj.compind.2016.09.006",{"doi":1545},"10.1016\u002Fj.compind.2016.09.006",{"id":26,"text":1547,"url":26,"identifiers":1548},"Oh, 2016, Toward dynamic energy management for green manufacturing systems, IEEE Commun. Mag., 54, 74, 10.1109\u002FMCOM.2016.7588232",{"doi":1549},"10.1109\u002FMCOM.2016.7588232",{"id":26,"text":1551,"url":26,"identifiers":1552},"Onyeiwu, C., Yang, E., Rodden, T., Yan, X.T., Zante, R.C., Ion, W., 2017. In-process monitoring and quality control of hot forging processes towards Industry 4.0. In: Industrial Systems in the Digital Age Conference, Vol. 2017, p. 1.",{},{"id":26,"text":1554,"url":26,"identifiers":1555},"Pacaux-Lemoine, 2017, Designing intelligent manufacturing systems through Human-Machine Cooperation principles: A human-centered approach, Comput. Ind. Eng., 10.1016\u002Fj.cie.2017.05.014",{"doi":1556},"10.1016\u002Fj.cie.2017.05.014",{"id":26,"text":1558,"url":26,"identifiers":1559},"Paelke, 2014, Augmented reality in the smart factory: Supporting workers in an industry 4.0. environment, 1",{},{"id":26,"text":1561,"url":26,"identifiers":1562},"Parlanti, 2017, Smart shopfloors and connected platforms in industry 4.0, Electron. World, 123, 26",{},{"id":26,"text":1564,"url":26,"identifiers":1565},"Penas, 2017, Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems, Comput. Ind., 86, 52, 10.1016\u002Fj.compind.2016.12.001",{"doi":1566},"10.1016\u002Fj.compind.2016.12.001",{"id":26,"text":1568,"url":26,"identifiers":1569},"Pfeiffer, 2017, The vision of “Industrie 4.0” in the makinga case of future told, tamed, and traded, NanoEthics, 11, 107, 10.1007\u002Fs11569-016-0280-3",{"doi":1570},"10.1007\u002Fs11569-016-0280-3",{"id":26,"text":1572,"url":26,"identifiers":1573},"Pfeiffer, 2016, Empowering user interfaces for Industrie 4.0, Proc. IEEE, 104, 986, 10.1109\u002FJPROC.2015.2508640",{"doi":1574},"10.1109\u002FJPROC.2015.2508640",{"id":26,"text":1576,"url":26,"identifiers":1577},"Pisching, 2015, Service composition in the cloud-based manufacturing focused on the industry 4.0, 65",{},{"id":26,"text":1579,"url":26,"identifiers":1580},"Polyvyanyy, 2017, Process querying: Enabling business intelligence through query-based process analytics, Decis. Support Syst., 10.1016\u002Fj.dss.2017.04.011",{"doi":1581},"10.1016\u002Fj.dss.2017.04.011",{"id":26,"text":1583,"url":26,"identifiers":1584},"Posada, 2015, Visual computing as a key enabling technology for industrie 4.0 and industrial internet, IEEE Comput. Graph. Appl., 35, 26, 10.1109\u002FMCG.2015.45",{"doi":1585},"10.1109\u002FMCG.2015.45",{"id":26,"text":1587,"url":26,"identifiers":1588},"Prathap, G., 2013. Big data and false discovery: analyses of bibliometric indicators from large data sets.",{"doi":1589},"10.1007\u002Fs11192-013-1063-z",{"id":26,"text":1591,"url":26,"identifiers":1592},"Prause, 2016, E-Residency: a business platform for Industry 4.0?, Entrepreneurship Sustain. Issues, 3, 216, 10.9770\u002Fjesi.2016.3.3(1)",{"doi":1593},"10.9770\u002Fjesi.2016.3.3(1)",{"id":26,"text":1595,"url":26,"identifiers":1596},"Preuveneers, 2017, The intelligent industry of the future: A survey on emerging trends, research challenges and opportunities in Industry 4.0, J. Ambient Intell. Smart Environ., 9, 287, 10.3233\u002FAIS-170432",{"doi":1597},"10.3233\u002FAIS-170432",{"id":26,"text":1599,"url":26,"identifiers":1600},"Pritchard, 1969, Statistical bibliography or bibliometrics?, J. Doc., 25, 348",{},{"id":26,"text":1602,"url":26,"identifiers":1603},"Qin, 2017, Future digital design and manufacturing: Embracing industry 4.0 and beyond, Chin. J. Mech. Eng., 30, 1047, 10.1007\u002Fs10033-017-0176-3",{"doi":1604},"10.1007\u002Fs10033-017-0176-3",{"id":26,"text":1606,"url":26,"identifiers":1607},"Qin, S.F., Cheng, K., 2017b. Special Issue on Future Digital Design and Manufacturing: Embracing Industry 4.0 and Beyond-Part II.",{"doi":1608},"10.1007\u002Fs10033-017-0175-4",{"id":26,"text":1610,"url":26,"identifiers":1611},"Quezada, L.E., da Costa, S.E.G., Tan, K.H., 2017. Operational Excellence towards Sustainable Development Goals through Industry 4.0.",{"doi":1612},"10.1016\u002Fj.ijpe.2017.06.014",{"id":26,"text":1614,"url":26,"identifiers":1615},"Ren, 2017, A multi-perspective method for analysis of cooperative behaviors among industrial devices of smart factory, IEEE Access, 10.1109\u002FACCESS.2017.2708127",{"doi":1616},"10.1109\u002FACCESS.2017.2708127",{"id":26,"text":1618,"url":26,"identifiers":1619},"Richter, L.J., DeLongchamp, D.M., Amassian, A., 2017. Morphology Development in Solution-Processed Functional Organic Blend Films: An In Situ Viewpoint.",{"doi":1620},"10.1021\u002Facs.chemrev.6b00618",{"id":26,"text":1622,"url":26,"identifiers":1623},"Riel, 2017, Integrated design for tackling safety and security challenges of smart products and digital manufacturing, CIRP Ann.-Manuf. Technol., 10.1016\u002Fj.cirp.2017.04.037",{"doi":1624},"10.1016\u002Fj.cirp.2017.04.037",{"id":26,"text":1626,"url":26,"identifiers":1627},"Roy, 2016, Continuous maintenance and the future–Foundations and technological challenges, CIRP Ann.-Manuf. Technol., 65, 667, 10.1016\u002Fj.cirp.2016.06.006",{"doi":1628},"10.1016\u002Fj.cirp.2016.06.006",{"id":26,"text":1630,"url":26,"identifiers":1631},"Sackey, 2016, Industrial engineering curriculum in Industry 4.0 in a South African context, S. Afr. J. Ind. Eng., 27, 101",{},{"id":26,"text":1633,"url":26,"identifiers":1634},"Sackey, 2017, Industry 4.0 learning factory didactic design parameters for industrial engineering education in South Africa, S. Afr. J. Ind. Eng., 28, 114",{},{"id":26,"text":1636,"url":26,"identifiers":1637},"Sanin, 2017, Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory, J. Intell. Fuzzy Syst., 32, 1585, 10.3233\u002FJIFS-169152",{"doi":1638},"10.3233\u002FJIFS-169152",{"id":26,"text":1640,"url":26,"identifiers":1641},"Schlechtendahl, 2015, Making existing production systems Industry 4.0-ready, Prod. Eng., 9, 143, 10.1007\u002Fs11740-014-0586-3",{"doi":1642},"10.1007\u002Fs11740-014-0586-3",{"id":26,"text":1644,"url":26,"identifiers":1645},"Schleipen, 2015, Requirements and concept for plug-and-work, at-Automatisierungstechnik, 63, 801, 10.1515\u002Fauto-2015-0015",{"doi":1646},"10.1515\u002Fauto-2015-0015",{"id":26,"text":1648,"url":26,"identifiers":1649},"Schleipen, 2015, Monitoring and control of flexible transport equipment, at-Automatisierungstechnik, 63, 977, 10.1515\u002Fauto-2015-0013",{"doi":1650},"10.1515\u002Fauto-2015-0013",{"id":26,"text":1652,"url":26,"identifiers":1653},"Schmidt, 2015, Industry 4.0-potentials for creating smart products: empirical research results, 16",{},{"id":26,"text":1655,"url":26,"identifiers":1656},"Schuh, 2014, Collaboration moves productivity to the next level, Proc. CIRP, 17, 3, 10.1016\u002Fj.procir.2014.02.037",{"doi":1657},"10.1016\u002Fj.procir.2014.02.037",{"id":26,"text":1659,"url":26,"identifiers":1660},"Schuh, 2014, Global footprint design based on genetic algorithms–An industry 4.0 perspective, CIRP Ann.-Manuf. Technol., 63, 433, 10.1016\u002Fj.cirp.2014.03.121",{"doi":1661},"10.1016\u002Fj.cirp.2014.03.121",{"id":26,"text":1663,"url":26,"identifiers":1664},"Schweer, 2017, The digital transformation of industry–the benefit for Germany, 23",{},{"id":26,"text":1666,"url":26,"identifiers":1667},"Seitz, 2015, Cyber-physical production systems combined with logistic models–a learning factory concept for an improved production planning and control, Proc. CIRP, 32, 92, 10.1016\u002Fj.procir.2015.02.220",{"doi":1668},"10.1016\u002Fj.procir.2015.02.220",{"id":26,"text":1670,"url":26,"identifiers":1671},"Shafiq, 2015, Virtual engineering object\u002Fvirtual engineering process: a specialized form of cyber physical system for Industrie 4.0, Proc. Comput. Sci., 60, 1146, 10.1016\u002Fj.procs.2015.08.166",{"doi":1672},"10.1016\u002Fj.procs.2015.08.166",{"id":26,"text":1674,"url":26,"identifiers":1675},"Shafiq, 2016, Virtual engineering factory: Creating experience base for industry 4.0, Cybern. Syst., 47, 32, 10.1080\u002F01969722.2016.1128762",{"doi":1676},"10.1080\u002F01969722.2016.1128762",{"id":26,"text":1678,"url":26,"identifiers":1679},"Shafiq, 2015, Virtual engineering object (VEO): Toward experience-based design and manufacturing for industry 4.0, Cybern. Syst., 46, 35, 10.1080\u002F01969722.2015.1007734",{"doi":1680},"10.1080\u002F01969722.2015.1007734",{"id":26,"text":1682,"url":26,"identifiers":1683},"Shamim, 2017, Examining the feasibilities of industry 4.0 for the hospitality sector with the lens of management practice, Energies, 10, 499, 10.3390\u002Fen10040499",{"doi":1684},"10.3390\u002Fen10040499",{"id":26,"text":1686,"url":26,"identifiers":1687},"Shrouf, 2014, Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm, 697",{},{"id":26,"text":1689,"url":26,"identifiers":1690},"Shukla, 2018, A review of the scopes and challenges of the modern real-time operating systems, Int. J. Embedded Real-Time Commun. Syst. (IJERTCS), 9, 66, 10.4018\u002FIJERTCS.2018010104",{"doi":1691},"10.4018\u002FIJERTCS.2018010104",{"id":26,"text":1693,"url":26,"identifiers":1694},"Siddiqui, 2016, Hierarchical, virtualised and distributed intelligence 5G architecture for low-latency and secure applications, Trans. Emerg. Telecommun. Technol., 27, 1233, 10.1002\u002Fett.3072",{"doi":1695},"10.1002\u002Fett.3072",{"id":26,"text":1697,"url":26,"identifiers":1698},"Sikorski, 2017, Blockchain technology in the chemical industry: Machine-to-machine electricity market, Appl. Energy, 195, 234, 10.1016\u002Fj.apenergy.2017.03.039",{"doi":1699},"10.1016\u002Fj.apenergy.2017.03.039",{"id":26,"text":1701,"url":26,"identifiers":1702},"Snášel, 2017, Geometrical and topological approaches to Big Data, Future Gener. Comput. Syst., 67, 286, 10.1016\u002Fj.future.2016.06.005",{"doi":1703},"10.1016\u002Fj.future.2016.06.005",{"id":26,"text":1705,"url":26,"identifiers":1706},"Stock, 2016, Opportunities of sustainable manufacturing in industry 4.0, Proc. CIRP, 40, 536, 10.1016\u002Fj.procir.2016.01.129",{"doi":1707},"10.1016\u002Fj.procir.2016.01.129",{"id":26,"text":1709,"url":26,"identifiers":1710},"Su, 2017, Industry 4.0: A special section in IEEE Access, IEEE Access, 5, 12257, 10.1109\u002FACCESS.2017.2704758",{"doi":1711},"10.1109\u002FACCESS.2017.2704758",{"id":26,"text":1713,"url":26,"identifiers":1714},"Syu, 2016, A computer vision assisted system for autonomous forklift vehicles in real factory environment, Multimedia Tools Appl., 1",{},{"id":26,"text":1716,"url":26,"identifiers":1717},"T-H Lee, 2017, Nanoscale layer transfer by hydrogen ion-cut processing: A brief review through recent US patents, Recent Patents Nanotechnol., 11, 42, 10.2174\u002F1872210510666160816164410",{"doi":1718},"10.2174\u002F1872210510666160816164410",{"id":26,"text":1720,"url":26,"identifiers":1721},"Tao, 2017, SDMSim: a manufacturing service supply–demand matching simulator under cloud environment, Robot. Comput.-Integr. Manuf., 45, 34, 10.1016\u002Fj.rcim.2016.07.001",{"doi":1722},"10.1016\u002Fj.rcim.2016.07.001",{"id":26,"text":1724,"url":26,"identifiers":1725},"Tao, 2016, Digital evaluation of sitting posture comfort in human-vehicle system under industry 4.0 framework, Chin. J. Mech. Eng., 29, 1096, 10.3901\u002FCJME.2016.0718.082",{"doi":1726},"10.3901\u002FCJME.2016.0718.082",{"id":26,"text":1728,"url":26,"identifiers":1729},"Theorin, 2017, An event-driven manufacturing information system architecture for Industry 4.0, Int. J. Prod. Res., 55, 1297, 10.1080\u002F00207543.2016.1201604",{"doi":1730},"10.1080\u002F00207543.2016.1201604",{"id":26,"text":1732,"url":26,"identifiers":1733},"Thongpull, 2015, A design automation approach for task-specific intelligent multi-sensory systems–Lab-on-spoon in food applications, tm-Tech. Mess., 82, 196, 10.1515\u002Fteme-2014-0009",{"doi":1734},"10.1515\u002Fteme-2014-0009",{"id":26,"text":1736,"url":26,"identifiers":1737},"Thramboulidis, 2016, UML4IoT—A UML-based approach to exploit IoT in cyber-physical manufacturing systems, Comput. Ind., 82, 259, 10.1016\u002Fj.compind.2016.05.010",{"doi":1738},"10.1016\u002Fj.compind.2016.05.010",{"id":26,"text":1740,"url":26,"identifiers":1741},"Trappey, 2016, A review of technology standards and patent portfolios for enabling cyber-physical systems in advanced manufacturing, IEEE Access, 4, 7356, 10.1109\u002FACCESS.2016.2619360",{"doi":1742},"10.1109\u002FACCESS.2016.2619360",{"id":26,"text":1744,"url":26,"identifiers":1745},"Tuominen, 2016, The measurement-aided welding cell—giving sight to the blind, Int. J. Adv. Manuf. Technol., 86, 371, 10.1007\u002Fs00170-015-8193-9",{"doi":1746},"10.1007\u002Fs00170-015-8193-9",{"id":26,"text":1748,"url":26,"identifiers":1749},"Turner, 2016, Discrete event simulation and virtual reality use in industry: New opportunities and future trends, IEEE Trans. Hum.-Mach. Syst., 46, 882, 10.1109\u002FTHMS.2016.2596099",{"doi":1750},"10.1109\u002FTHMS.2016.2596099",{"id":26,"text":1752,"url":26,"identifiers":1753},"Ungurean, 2014, An IoT architecture for things from industrial environment, 1",{},{"id":26,"text":1755,"url":26,"identifiers":1756},"Upasani, 2017, Distributed maintenance planning in manufacturing industries, Comput. Ind. Eng., 108, 1, 10.1016\u002Fj.cie.2017.03.027",{"doi":1757},"10.1016\u002Fj.cie.2017.03.027",{"id":26,"text":1759,"url":26,"identifiers":1760},"Varghese, 2014, Wireless requirements and challenges in Industry 4.0, 634",{},{"id":26,"text":1762,"url":26,"identifiers":1763},"Veza, 2016, Selection of the basic Lean tools for development of Croatian model of Innovative Smart Enterprise, Teh. Vjesn., 23, 1317",{},{"id":26,"text":1765,"url":26,"identifiers":1766},"Vogel-Heuser, 2014, Coupling heterogeneous production systems by a multi-agent based cyber-physical production system, 713",{},{"id":26,"text":1768,"url":26,"identifiers":1769},"Vogel-Heuser, 2016, Guest editorial industry 4.0–prerequisites and visions, IEEE Trans. Autom. Sci. Eng., 13, 411, 10.1109\u002FTASE.2016.2523639",{"doi":1770},"10.1109\u002FTASE.2016.2523639",{"id":26,"text":1772,"url":26,"identifiers":1773},"Wan, 2017, A manufacturing big data solution for active preventive maintenance, IEEE Trans. Ind. Inform., 10.1109\u002FTII.2017.2670505",{"doi":1774},"10.1109\u002FTII.2017.2670505",{"id":26,"text":1776,"url":26,"identifiers":1777},"Wan, 2016, Software-defined industrial internet of things in the context of industry 4.0, IEEE Sens. J., 16, 7373",{},{"id":26,"text":1779,"url":26,"identifiers":1780},"Wan, 2016, Mobile services for customization manufacturing systems: an example of industry 4.0, IEEE Access, 4, 8977, 10.1109\u002FACCESS.2016.2631152",{"doi":1781},"10.1109\u002FACCESS.2016.2631152",{"id":26,"text":1783,"url":26,"identifiers":1784},"Wang, 2017, A hybrid-data-on-tag–enabled decentralized control system for flexible smart workpiece manufacturing shop floors, Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci., 231, 764, 10.1177\u002F0954406215620452",{"doi":1785},"10.1177\u002F0954406215620452",{"id":26,"text":1787,"url":26,"identifiers":1788},"Wang, 2016, Large-scale online multitask learning and decision making for flexible manufacturing, IEEE Trans. Ind. Inform., 12, 2139, 10.1109\u002FTII.2016.2549919",{"doi":1789},"10.1109\u002FTII.2016.2549919",{"id":26,"text":1791,"url":26,"identifiers":1792},"Wang, 2016, Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination, Comput. Netw., 101, 158, 10.1016\u002Fj.comnet.2015.12.017",{"doi":1793},"10.1016\u002Fj.comnet.2015.12.017",{"id":26,"text":1795,"url":26,"identifiers":1796},"Wanyama, 2017, Using industry 4.0 technologies to support teaching and learning, Int. J. Eng. Educ., 33, 693",{},{"id":26,"text":1798,"url":26,"identifiers":1799},"Webster, S.A., 2015. Coming to a factory near you: industry 4.0.",{},{"id":26,"text":1801,"url":26,"identifiers":1802},"Weinberger, 2016, IoT business models in an industrial context, at-Automatisierungstechnik, 64, 699, 10.1515\u002Fauto-2016-0054",{"doi":1803},"10.1515\u002Fauto-2016-0054",{"id":26,"text":1805,"url":26,"identifiers":1806},"Weyer, 2015, Towards Industry 4.0-Standardization as the crucial challenge for highly modular, multi-vendor production systems, Ifac-Papersonline, 48, 579, 10.1016\u002Fj.ifacol.2015.06.143",{"doi":1807},"10.1016\u002Fj.ifacol.2015.06.143",{"id":26,"text":1809,"url":26,"identifiers":1810},"Wu, 2017, Digital design and manufacturing on the cloud: A review of software and services, AI EDAM, 31, 104",{},{"id":26,"text":1812,"url":26,"identifiers":1813},"Xu, 2017, A feasible architecture for ARM-based microserver systems considering energy efficiency, IEEE Access, 5, 4611, 10.1109\u002FACCESS.2017.2657658",{"doi":1814},"10.1109\u002FACCESS.2017.2657658",{"id":26,"text":1816,"url":26,"identifiers":1817},"Xu, 2017, ViDX: visual diagnostics of assembly line performance in smart factories, IEEE Trans. Vis. Comput. Graph., 23, 291, 10.1109\u002FTVCG.2016.2598664",{"doi":1818},"10.1109\u002FTVCG.2016.2598664",{"id":26,"text":1820,"url":26,"identifiers":1821},"Xu, 2013, Accurate localization technology in fully mechanized coal face: The first step towards coal mining industry 4.0, Disaster Adv., 6, 69",{},{"id":26,"text":1823,"url":26,"identifiers":1824},"Xu, 2017, The structure and citation landscape of IEEE Transactions on Fuzzy Systems (1994-2015), IEEE Trans. Fuzzy Syst.",{},{"id":26,"text":1826,"url":26,"identifiers":1827},"Yu, 2015, Computer-integrated manufacturing, cyber-physical systems and cloud manufacturing–concepts and relationships, Manuf. Lett., 6, 5, 10.1016\u002Fj.mfglet.2015.11.005",{"doi":1828},"10.1016\u002Fj.mfglet.2015.11.005",{"id":26,"text":1830,"url":26,"identifiers":1831},"Yu, 2017, Information sciences 1968-2016: A retrospective analysis with text mining and bibliometric, Inform. Sci., 10.1016\u002Fj.ins.2017.08.031",{"doi":1832},"10.1016\u002Fj.ins.2017.08.031",{"id":26,"text":1834,"url":26,"identifiers":1835},"Yue, 2015, Cloud-assisted industrial cyber-physical systems: an insight, Microprocess. Microsyst., 39, 1262, 10.1016\u002Fj.micpro.2015.08.013",{"doi":1836},"10.1016\u002Fj.micpro.2015.08.013",{"id":26,"text":1838,"url":26,"identifiers":1839},"Yuksel, 2017, The Reflections of Digitalization at Organizational Level: Industry 4.0 in Turkey, J. Bus. Econ. Financ., 6, 291",{},{"id":26,"text":1841,"url":26,"identifiers":1842},"Zawadzki, 2016, Smart product design and production control for effective mass customization in the Industry 4.0 concept, Manag. Prod. Eng. Rev., 7, 105",{},{"id":26,"text":1844,"url":26,"identifiers":1845},"Zhan, 2015, Cloud computing resource scheduling and a survey of its evolutionary approaches, ACM Comput. Surv., 47, 63, 10.1145\u002F2788397",{"doi":1846},"10.1145\u002F2788397",{"id":26,"text":1848,"url":26,"identifiers":1849},"Zheng, 2017, Smart spare parts management systems in semiconductor manufacturing, Indus. Manage. Data Syst., 117, 754, 10.1108\u002FIMDS-06-2016-0242",{"doi":1850},"10.1108\u002FIMDS-06-2016-0242",{"id":26,"text":1852,"url":26,"identifiers":1853},"Zhou, 2015, Industry 4.0: Towards future industrial opportunities and challenges, 2147",{},{"id":26,"text":1855,"url":26,"identifiers":1856},"Zhu, 2017, Industrial big data–based scheduling modeling framework for complex manufacturing system, Adv. Mech. Eng., 9, 10.1177\u002F1687814017726289",{"doi":1857},"10.1177\u002F1687814017726289",{"id":26,"text":1859,"url":26,"identifiers":1860},"Zoller, 2017, Packaging of small-scale thermoelectric generators for autonomous sensor nodes, IEEE Trans. Compon. Packag. Manuf. Technol., 10.1109\u002FTCPMT.2017.2698021",{"doi":1861},"10.1109\u002FTCPMT.2017.2698021",{"id":1863,"createTime":1864,"updateTime":1864,"relativeEntities":1865,"slug":1866,"properties":1867,"entityType":778,"verifyStatus":25,"verifyTime":1878,"verifyNote":779,"syncStatus":28,"languages":1879,"translateLanguages":26,"viewCount":36,"primaryUrl":1880,"fullTextUrl":26,"authors":1881,"publicationType":822,"publisherRelationship":1974,"citationCount":2004,"citationInfo":2005,"publishDate":2007,"publishYear":2008,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":2009,"isForceReanalyzing":946},"40105b6c-f1d3-4efc-b45f-a5b92112ef2d","2024-10-14T01:19:02.125+00:00",[],"Auto-ID-systems-and-intelligent-manufacturing-control",{"mag":1868,"keywords":1870,"openalex":1871,"abstract":1873,"title":1874,"doi":1876},{"VOID":1869},"1977027554",{},{"VOID":1872},"W1977027554",{},{"EN":1875},"Auto ID systems and intelligent manufacturing control",{"VOID":1877},"10.1016\u002Fs0952-1976(03)00077-0","2024-10-14T01:19:02.124+00:00",[102],"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0952197603000770",[1882,1903,1925,1942,1959],{"id":1883,"sortIndex":36,"researcher":26,"roles":1884,"affiliations":1885,"properties":1896},"679a8e3c-ff79-42c8-b869-d509ead0ec99",[],[1886],{"id":1887,"sortIndex":36,"affiliation":1888,"properties":26},"0df1380a-1166-4e0f-b70e-26faaa88ca35",{"id":1889,"createTime":1890,"updateTime":1890,"relativeEntities":1891,"slug":1892,"properties":1893,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"1271111d-385e-47cf-81f3-32b754f35ac2","2024-10-14T01:19:02.138+00:00",[],"Cambridge-Auto-ID-Centre-Institute-for-Manufacturing-University-of-Cambridge-Mill-Lane-Cambridge-CB21RX-UK",{"title":1894},{"EN":1895},"Cambridge Auto ID Centre, Institute for Manufacturing, University of Cambridge, Mill Lane, Cambridge CB21RX, UK",{"openalex":1897,"orcid":1899,"title":1901},{"VOID":1898},"A5029346937",{"VOID":1900},"https:\u002F\u002Forcid.org\u002F0000-0002-1558-7823",{"EN":1902},"Duncan McFarlane",{"id":1904,"sortIndex":111,"researcher":26,"roles":1905,"affiliations":1906,"properties":1918},"7113826c-9f17-489e-9f86-8942991cb31c",[],[1907],{"id":1908,"sortIndex":36,"affiliation":1909,"properties":26},"3891413b-cd8c-4923-bac7-0e8ed349d9b8",{"id":1910,"createTime":1911,"updateTime":1912,"relativeEntities":1913,"slug":1914,"properties":1915,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"eb8ed5ec-7abf-4929-be63-43bc11275673","2024-02-13T05:36:18.737+00:00","2024-10-14T01:19:02.151+00:00",[],"MIT-Auto-ID-Center-Department-of-Mechanical-Engineering-35-010-Massachusetts-Institute-of-Technology-Cambridge-MA-02139-USA",{"title":1916},{"VI":1917},"MIT Auto-ID Center Department of Mechanical Engineering, 35-010 Massachusetts Institute of Technology, Cambridge, MA 02139, USA",{"openalex":1919,"orcid":1921,"title":1923},{"VOID":1920},"A5033291694",{"VOID":1922},"https:\u002F\u002Forcid.org\u002F0000-0001-6106-3425",{"EN":1924},"Kevin J. Ashton",{"id":1926,"sortIndex":59,"researcher":26,"roles":1927,"affiliations":1928,"properties":1935},"f714251a-c4a3-4da0-a5bf-6694bd2b7d6e",[],[1929],{"id":1930,"sortIndex":36,"affiliation":1931,"properties":26},"cd56d5f7-19f4-40c1-9f72-8b87ef189dde",{"id":1889,"createTime":1890,"updateTime":1890,"relativeEntities":1932,"slug":1892,"properties":1933,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":1934},{"EN":1895},{"openalex":1936,"orcid":1938,"title":1940},{"VOID":1937},"A5074795040",{"VOID":1939},"https:\u002F\u002Forcid.org\u002F0000-0002-6541-6125",{"EN":1941},"Cuebong Wong",{"id":1943,"sortIndex":115,"researcher":26,"roles":1944,"affiliations":1945,"properties":1952},"caed2839-ae76-4064-89b4-e24ad1dfe0a3",[],[1946],{"id":1947,"sortIndex":36,"affiliation":1948,"properties":26},"d4c5bae1-232f-4804-9497-f4f45248f4c3",{"id":1910,"createTime":1911,"updateTime":1912,"relativeEntities":1949,"slug":1914,"properties":1950,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":1951},{"VI":1917},{"openalex":1953,"orcid":1955,"title":1957},{"VOID":1954},"A5019788273",{"VOID":1956},"https:\u002F\u002Forcid.org\u002F0000-0003-2812-039X",{"EN":1958},"Sanjay E. Sarma",{"id":1960,"sortIndex":114,"researcher":26,"roles":1961,"affiliations":1962,"properties":1969},"cf5d5854-e017-40e2-9fa3-adff44f22277",[],[1963],{"id":1964,"sortIndex":36,"affiliation":1965,"properties":26},"bd0a668c-f71b-4b65-b6b9-44777266ee2f",{"id":1889,"createTime":1890,"updateTime":1890,"relativeEntities":1966,"slug":1892,"properties":1967,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":1968},{"EN":1895},{"openalex":1970,"title":1972},{"VOID":1971},"A5065761926",{"EN":1973},"Jin Lung Chirn",{"url":26,"publisher":1975,"properties":1997},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":1976,"slug":663,"properties":1977,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":1980,"manageAffiliations":1981,"indexDatabases":1982,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":1978,"title":1979},{"VOID":666},{"EN":668},[],[],[1983,1990],{"id":738,"indexDatabase":1984,"url":751,"indexYears":752,"academicFieldIds":1989,"indexDatabaseRanking":757},{"id":740,"createTime":741,"updateTime":742,"relativeEntities":1985,"label":1986,"description":1987,"key":748,"publicationTags":1988,"standard":26},[],{"EN":745,"VI":745},{"EN":745,"VI":747},[750],[754,755,756],{"id":717,"indexDatabase":1991,"url":732,"indexYears":26,"academicFieldIds":1996,"indexDatabaseRanking":26},{"id":719,"createTime":720,"updateTime":721,"relativeEntities":1992,"label":1993,"description":1994,"key":728,"publicationTags":1995,"standard":26},[],{"EN":724,"VI":724},{"VI":726,"EN":727},[730,731],[734,735,736],{"volume":1998,"pages":2000,"issue":2002},{"VOID":1999},"16",{"VOID":2001},"365-376",{"VOID":2003},"4",445,{"total":2004,"publishYear":26,"statisticByYear":2006},{"2012":397,"2013":48,"2014":244,"2015":241,"2016":516,"2017":516,"2018":51,"2019":241,"2020":51,"2021":103,"2022":234,"2023":356,"2024":114},"2003-06-01",2003,[2010,2014,2018,2022,2025,2028,2031,2034,2037,2040,2043,2046,2050,2054,2058,2061,2064,2068,2071,2074,2077,2080,2084,2088,2092,2096,2099],{"id":26,"text":2011,"url":26,"identifiers":2012},"Bajic, E., Chaxel, F., 2002. Auto-ID mobile information systems for vehicle life cycle data management, Proceedings of IEEE Systems Man and Cybernetics, Hammammet, Tunisia.",{"doi":2013},"10.1109\u002FICSMC.2002.1173318",{"id":26,"text":2015,"url":26,"identifiers":2016},"Baker, 1998, A survey of factory control algorithms which can be implemented in a multi-agent hierarchy, Journal of Manufacturing Systems, 17, 297, 10.1016\u002FS0278-6125(98)80077-0",{"doi":2017},"10.1016\u002FS0278-6125(98)80077-0",{"id":26,"text":2019,"url":26,"identifiers":2020},"Bongaerts, 2000, Hierarchy in distributed shop-floor control, Computers in Industry, 43, 123, 10.1016\u002FS0166-3615(00)00062-2",{"doi":2021},"10.1016\u002FS0166-3615(00)00062-2",{"id":26,"text":2023,"url":26,"identifiers":2024},"Bussmann, S., 1998. An agent-oriented architecture for holonic manufacturing control, Proceedings of IMS’98—Esprit Workshop in Intelligent Manufacturing Systems, Lausanne, Switzerland.",{},{"id":26,"text":2026,"url":26,"identifiers":2027},"Cassandras, 1999",{},{"id":26,"text":2029,"url":26,"identifiers":2030},"Chirn, 2000, Component-based approach to the holonic control of a robot assembly cell, Proceedings of the IEEE International Conference on Robotics and Automation, 4, 3701",{},{"id":26,"text":2032,"url":26,"identifiers":2033},"Chirn, 2001, Building Holonic Systems in Today's Factories, JASS Special Issue on Holonic and Multi Agent Sytems, 2, 82",{},{"id":26,"text":2035,"url":26,"identifiers":2036},"Chirn, J., McFarlane, D., 2003. Evaluating Holonic manufacturing implementations. Cambridge University Engineering Department Report CUED\u002FE-MANUF\u002FTR.29.",{},{"id":26,"text":2038,"url":26,"identifiers":2039},"Christensen, J., 1994. Holonic manufacturing systems—initial architecture and standards directions. Proceedings of the First European Conference on Holonic Manufacturing Systems, Germany.",{},{"id":26,"text":2041,"url":26,"identifiers":2042},"Ferber, 2000",{},{"id":26,"text":2044,"url":26,"identifiers":2045},"Finkenzeller, 1999",{},{"id":26,"text":2047,"url":26,"identifiers":2048},"McFarlane, D.C., 2002. Auto ID based control—an overview. Proceedings of IEEE Systems Man and Cybernetics, Hammamet, Tunisia.",{"doi":2049},"10.1109\u002FICSMC.2002.1176120",{"id":26,"text":2051,"url":26,"identifiers":2052},"McFarlane, D.C., 2003. Product identity and its impact on discrete event observability. In: Proceedings of ECC 03, Cambridge, UK (in press).",{"doi":2053},"10.23919\u002FECC.2003.7084942",{"id":26,"text":2055,"url":26,"identifiers":2056},"McFarlane, 2000, State of the art of holonic systems in production planning and control, Journal of Production Planning and Control, 11, 522, 10.1080\u002F095372800414089",{"doi":2057},"10.1080\u002F095372800414089",{"id":26,"text":2059,"url":26,"identifiers":2060},"O’Hare, 1996, 429",{},{"id":26,"text":2062,"url":26,"identifiers":2063},"Peeters, P., et al., 1999. Pheromone-based emergent shop floor control systems for flexible flow shops. IWES’99, Kobe, Japan.",{},{"id":26,"text":2065,"url":26,"identifiers":2066},"Prosser, P., Buchanan, I., 1994. Intelligent scheduling: past, present and future. Intelligent Systems Engineering (Summer).",{"doi":2067},"10.1049\u002Fise.1994.0010",{"id":26,"text":2069,"url":26,"identifiers":2070},"Sarma, S., 2001. Towards the 5c Tag, Auto ID Center White Paper MIT-AUTOID-WH-001, http:\u002F\u002Fwww.autoidcenter.org\u002Fresearch.",{},{"id":26,"text":2072,"url":26,"identifiers":2073},"Sarma, S., Ashton, K., Brock, D., 1999. The networked physical world. Auto ID Center Technical Report MIT-AUTOID-WH-001, http:\u002F\u002Fwww.autoidcenter.org\u002Fresearch.",{},{"id":26,"text":2075,"url":26,"identifiers":2076},"Suda, 1989, Future factory system formulated in Japan, Japanese Journal of Advanced Automation Technology, 1, 67",{},{"id":26,"text":2078,"url":26,"identifiers":2079},"Thompson, 1996",{},{"id":26,"text":2081,"url":26,"identifiers":2082},"Valckenaers, 1995, Programming, scheduling and control of flexible assembly systems, Computers in Industry, 26, 209, 10.1016\u002F0166-3615(95)00013-T",{"doi":2083},"10.1016\u002F0166-3615(95)00013-T",{"id":26,"text":2085,"url":26,"identifiers":2086},"Van Brussel, 1998, Reference architecture for holonic manufacturing systems, Computers in Industry, 37, 255, 10.1016\u002FS0166-3615(98)00102-X",{"doi":2087},"10.1016\u002FS0166-3615(98)00102-X",{"id":26,"text":2089,"url":26,"identifiers":2090},"Wong, C.Y., McFarlane, D., Zaharudin, A., Agarawal, V., 2002. The intelligent product driven supply chain. Proceedings of IEEE Systems Man and Cybernetics, Hammamet, Tunisia.",{"doi":2091},"10.1109\u002FICSMC.2002.1173319",{"id":26,"text":2093,"url":26,"identifiers":2094},"Wooldridge, 1995, Intelligent agents, Knowledge Engineering Review, 10, 115, 10.1017\u002FS0269888900008122",{"doi":2095},"10.1017\u002FS0269888900008122",{"id":26,"text":2097,"url":26,"identifiers":2098},"Zhang, X., Norrie, D., 1999. Holonic control at the production and controller levels. Proceedings of IMS’99, Leuven, Belgium.",{},{"id":26,"text":2100,"url":26,"identifiers":2101},"Zweben, 1994",{},{"id":2103,"createTime":2104,"updateTime":2104,"relativeEntities":2105,"slug":2106,"properties":2107,"entityType":778,"verifyStatus":25,"verifyTime":2104,"verifyNote":779,"syncStatus":28,"languages":2118,"translateLanguages":26,"viewCount":36,"primaryUrl":2119,"fullTextUrl":26,"authors":2120,"publicationType":822,"publisherRelationship":2198,"citationCount":2228,"citationInfo":2229,"publishDate":2231,"publishYear":2232,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":2233,"isForceReanalyzing":946},"1080dcd1-c9b3-4e7b-9620-a8dab660616e","2024-09-26T05:02:03.004+00:00",[],"Remaining-useful-life-estimation-based-on-nonlinear-feature-reduction-and-support-vector-regression",{"mag":2108,"keywords":2110,"openalex":2111,"abstract":2113,"title":2114,"doi":2116},{"VOID":2109},"2030166992",{},{"VOID":2112},"W2030166992",{},{"EN":2115},"Remaining useful life estimation based on nonlinear feature reduction and support vector regression",{"VOID":2117},"10.1016\u002Fj.engappai.2013.02.006",[102],"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0952197613000365",[2121,2140,2160,2177],{"id":2122,"sortIndex":59,"researcher":26,"roles":2123,"affiliations":2124,"properties":2135},"a489c6bd-3343-4f9a-835e-453349cfd8fd",[],[2125],{"id":2126,"sortIndex":36,"affiliation":2127,"properties":26},"a16931ab-6191-40a7-bf33-c6b6e0d93f8c",{"id":2128,"createTime":2129,"updateTime":2129,"relativeEntities":2130,"slug":2131,"properties":2132,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"9e69afc5-a54d-4344-a290-6153af1c1a46","2024-09-26T05:02:03.054+00:00",[],"ENSP-Laboratoire-de-G%C3%A9nie-M%C3%A9canique-El-Harrach-Algiers-Algeria",{"title":2133},{"EN":2134},"ENSP, Laboratoire de Génie Mécanique, El-Harrach, Algiers, Algeria",{"openalex":2136,"title":2138},{"VOID":2137},"A5023871114",{"EN":2139},"S. Rechak",{"id":2141,"sortIndex":114,"researcher":26,"roles":2142,"affiliations":2143,"properties":2155},"63d1c7e4-9bfc-4c50-98ce-18852b9482d1",[],[2144],{"id":2145,"sortIndex":36,"affiliation":2146,"properties":26},"1e280a7d-1d8f-42ad-94b3-b4fc5335480c",{"id":2147,"createTime":2148,"updateTime":2149,"relativeEntities":2150,"slug":2151,"properties":2152,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"e6b824c0-4365-407b-981d-4448719bf50c","2023-12-01T16:34:31.810+00:00","2024-09-26T05:02:03.038+00:00",[],"FEMTO-ST-Institute-UMR-CNRS-6174-UFC-ENSMM-UTBM-Automatic-Control-and-Micro-Mechatronic-Systems-Department-24-rue-Alain-Savary-25000-Besan%C3%A7on-France",{"title":2153},{"VI":2154},"FEMTO-ST Institute, UMR CNRS 6174 - UFC \u002F ENSMM \u002F UTBM Automatic Control and Micro-Mechatronic Systems Department 24, rue Alain Savary, 25000 Besançon, France",{"openalex":2156,"title":2158},{"VOID":2157},"A5080708945",{"EN":2159},"N. Zerhouni",{"id":2161,"sortIndex":115,"researcher":26,"roles":2162,"affiliations":2163,"properties":2170},"f05b8f31-be05-4451-be1c-e3122af66815",[],[2164],{"id":2165,"sortIndex":36,"affiliation":2166,"properties":26},"54fbf1db-919a-4a34-b298-abab8a8a60a5",{"id":2147,"createTime":2148,"updateTime":2149,"relativeEntities":2167,"slug":2151,"properties":2168,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":2169},{"VI":2154},{"openalex":2171,"orcid":2173,"title":2175},{"VOID":2172},"A5078493275",{"VOID":2174},"https:\u002F\u002Forcid.org\u002F0000-0001-7895-5569",{"EN":2176},"Kamal Medjaher",{"id":2178,"sortIndex":36,"researcher":26,"roles":2179,"affiliations":2180,"properties":2191},"8bdc62b6-fe80-4172-95e3-e9cd6c905ed4",[],[2181],{"id":2182,"sortIndex":36,"affiliation":2183,"properties":26},"7ee89565-ff03-4a3d-8722-63a6fc76067d",{"id":2184,"createTime":2185,"updateTime":2185,"relativeEntities":2186,"slug":2187,"properties":2188,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"2872914a-546d-4c5e-a6b1-08d1c8f8909a","2024-09-26T05:02:03.021+00:00",[],"EMP-Laboratoire-de-M%C3%A9canique-des-Structures-LMS-Bordj-El-Bahri-Algiers-Algeria",{"title":2189},{"EN":2190},"EMP, Laboratoire de Mécanique des Structures (LMS), Bordj El Bahri, Algiers, Algeria",{"openalex":2192,"orcid":2194,"title":2196},{"VOID":2193},"A5009998510",{"VOID":2195},"https:\u002F\u002Forcid.org\u002F0000-0002-0447-9106",{"EN":2197},"Tarak Benkedjouh",{"url":26,"publisher":2199,"properties":2221},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":2200,"slug":663,"properties":2201,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":2204,"manageAffiliations":2205,"indexDatabases":2206,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":2202,"title":2203},{"VOID":666},{"EN":668},[],[],[2207,2214],{"id":738,"indexDatabase":2208,"url":751,"indexYears":752,"academicFieldIds":2213,"indexDatabaseRanking":757},{"id":740,"createTime":741,"updateTime":742,"relativeEntities":2209,"label":2210,"description":2211,"key":748,"publicationTags":2212,"standard":26},[],{"EN":745,"VI":745},{"EN":745,"VI":747},[750],[754,755,756],{"id":717,"indexDatabase":2215,"url":732,"indexYears":26,"academicFieldIds":2220,"indexDatabaseRanking":26},{"id":719,"createTime":720,"updateTime":721,"relativeEntities":2216,"label":2217,"description":2218,"key":728,"publicationTags":2219,"standard":26},[],{"EN":724,"VI":724},{"VI":726,"EN":727},[730,731],[734,735,736],{"volume":2222,"pages":2224,"issue":2226},{"VOID":2223},"26",{"VOID":2225},"1751-1760",{"VOID":2227},"7",309,{"total":2228,"publishYear":26,"statisticByYear":2230},{"2013":114,"2014":50,"2015":356,"2016":237,"2017":51,"2018":173,"2019":397,"2020":48,"2021":402,"2022":539,"2023":125,"2024":124},"2013-08-01",2013,[2234,2237,2240,2243,2247,2250,2254,2258,2261,2265,2268,2272,2275,2279,2283,2287,2291,2294,2297,2301,2305,2308,2311,2314],{"id":26,"text":2235,"url":26,"identifiers":2236},"AFNOR, 2005. Condition monitoring and diagnostics of machines—prognostics—part 1: general guidelines. NF ISO 13381-1.",{},{"id":26,"text":2238,"url":26,"identifiers":2239},"Collobert, 2001, SVMTorch, J. Mach. Learn. Res., 1, 143",{},{"id":26,"text":2241,"url":26,"identifiers":2242},"Demiriz, 2001, Support vector machine regression in chemometrics, Comput. Sci. Stat",{},{"id":26,"text":2244,"url":26,"identifiers":2245},"Gebraeel, 2004, Residual life predictions from vibration-based degradation signals, IEEE Trans. Ind. Electron., 51, 694, 10.1109\u002FTIE.2004.824875",{"doi":2246},"10.1109\u002FTIE.2004.824875",{"id":26,"text":2248,"url":26,"identifiers":2249},"Haitao, L., Wenbiao, Z., Huairui, 2006. Predicting remaining useful life of an individual unit using proportional hazards model and logistic regression model, in: Reliability and Maintainability Symposium, RAMS’06, pp. 127–132.",{},{"id":26,"text":2251,"url":26,"identifiers":2252},"Heng, 2009, Rotating machinery prognostics, Mech. Syst. Signal Process., 23, 724, 10.1016\u002Fj.ymssp.2008.06.009",{"doi":2253},"10.1016\u002Fj.ymssp.2008.06.009",{"id":26,"text":2255,"url":26,"identifiers":2256},"Huang, 2007, Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods, Mech. Syst. Signal Process., 21, 193, 10.1016\u002Fj.ymssp.2005.11.008",{"doi":2257},"10.1016\u002Fj.ymssp.2005.11.008",{"id":26,"text":2259,"url":26,"identifiers":2260},"Jackson, 1991",{},{"id":26,"text":2262,"url":26,"identifiers":2263},"Jardine, 2006, A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mech. Syst. Signal Process., 20, 1483, 10.1016\u002Fj.ymssp.2005.09.012",{"doi":2264},"10.1016\u002Fj.ymssp.2005.09.012",{"id":26,"text":2266,"url":26,"identifiers":2267},"Lebold, M., Thurston, M., 2001. Open standards for condition-based maintenance and prognostic systems, in: Proceedings of the 5th Maintenance and Reliability Conference (MARCON).",{},{"id":26,"text":2269,"url":26,"identifiers":2270},"Liao, 2009, A novel method for machine performance degradation assessment based on fixed cycle features test, J. Sound Vib., 326, 894, 10.1016\u002Fj.jsv.2009.05.005",{"doi":2271},"10.1016\u002Fj.jsv.2009.05.005",{"id":26,"text":2273,"url":26,"identifiers":2274},"Lingjun, 2005, Condition evaluation for mechanical equipment by means of support vector data description, Chin. J. Mech. Sci. Technol., 24, 1426",{},{"id":26,"text":2276,"url":26,"identifiers":2277},"Maaten, L.J.P.V.D., Postma, E.O., Herik, H.J.V.D., 2009. Dimensionality Reduction: A Comparative Review, Tilburg University Technical Report, tiCC-TR 2009-005.",{"doi":2278},"10.1088\u002F1475-7516\u002F2009\u002F02\u002F005",{"id":26,"text":2280,"url":26,"identifiers":2281},"Malhi, 2004, PCA-based feature selection scheme for machine defect classification, IEEE Trans. Instrum. Meas., 53, 1517, 10.1109\u002FTIM.2004.834070",{"doi":2282},"10.1109\u002FTIM.2004.834070",{"id":26,"text":2284,"url":26,"identifiers":2285},"Medjaher, 2012, Remaining useful life estimation of critical components with application to bearings, IEEE Trans. Reliab., 61, 292, 10.1109\u002FTR.2012.2194175",{"doi":2286},"10.1109\u002FTR.2012.2194175",{"id":26,"text":2288,"url":26,"identifiers":2289},"Samko, 2006, Selection of the optimal parameter value for the ISOMAP algorithm, Pattern Recognition Lett., 27, 968, 10.1016\u002Fj.patrec.2005.11.017",{"doi":2290},"10.1016\u002Fj.patrec.2005.11.017",{"id":26,"text":2292,"url":26,"identifiers":2293},"Schölkopf, 2002",{},{"id":26,"text":2295,"url":26,"identifiers":2296},"Shao, 2000, Prognosis of remaining bearing life using neural networks, J. Syst. Control Eng. Part I, 214, 217",{},{"id":26,"text":2298,"url":26,"identifiers":2299},"Tenenbaum, 2000, A global geometric framework for nonlinear dimensionality reduction, Science, 290, 2319, 10.1126\u002Fscience.290.5500.2319",{"doi":2300},"10.1126\u002Fscience.290.5500.2319",{"id":26,"text":2302,"url":26,"identifiers":2303},"Tobon-Mejia, 2012, CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks, Mech. Syst. Signal Process., 28, 167, 10.1016\u002Fj.ymssp.2011.10.018",{"doi":2304},"10.1016\u002Fj.ymssp.2011.10.018",{"id":26,"text":2306,"url":26,"identifiers":2307},"Vapnik, 1995",{},{"id":26,"text":2309,"url":26,"identifiers":2310},"Vapnik, 1997, Support vector method for function approximation, regression estimation, and signal processing, Adv. Neural Inf. Process. Syst., 9, 281",{},{"id":26,"text":2312,"url":26,"identifiers":2313},"Xi, 2000, Bearing diagnostics based on pattern recognition of statistical parameters, J. Vib. Control, 6, 75",{},{"id":26,"text":2315,"url":26,"identifiers":2316},"Yan, 2005, Degradation assessment and fault modes classification using logistic regression, J. Manuf. Sci. Eng. Trans. ASME, 127, 912, 10.1115\u002F1.1962019",{"doi":2317},"10.1115\u002F1.1962019",{"id":2319,"createTime":2320,"updateTime":2320,"relativeEntities":2321,"slug":2322,"properties":2323,"entityType":778,"verifyStatus":25,"verifyTime":2320,"verifyNote":779,"syncStatus":28,"languages":2334,"translateLanguages":26,"viewCount":36,"primaryUrl":2335,"fullTextUrl":26,"authors":2336,"publicationType":822,"publisherRelationship":2467,"citationCount":2495,"citationInfo":2496,"publishDate":2498,"publishYear":2499,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":2500,"isForceReanalyzing":946},"f2d0cc3b-01a3-4f8f-89b2-8a0bd3a4036b","2024-10-13T15:46:41.479+00:00",[],"A-framework-to-expedite-joint-energy-reserve-payment-cost-minimization-using-a-custom-designed-method-based-on-Mixed-Integer-Genetic-Algorithm",{"mag":2324,"keywords":2326,"openalex":2327,"abstract":2329,"title":2330,"doi":2332},{"VOID":2325},"2801961685",{},{"VOID":2328},"W2801961685",{},{"EN":2331},"A framework to expedite joint energy-reserve payment cost minimization using a custom-designed method based on Mixed Integer Genetic Algorithm",{"VOID":2333},"10.1016\u002Fj.engappai.2018.03.022",[102],"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS095219761830071X",[2337,2359,2381,2403,2423,2445],{"id":2338,"sortIndex":36,"researcher":26,"roles":2339,"affiliations":2340,"properties":2352},"5a1203f8-1c80-4fd2-9334-834aeedb8078",[],[2341],{"id":2342,"sortIndex":36,"affiliation":2343,"properties":26},"76845648-84e6-4de8-a02e-c495af59cf4a",{"id":2344,"createTime":2345,"updateTime":2346,"relativeEntities":2347,"slug":2348,"properties":2349,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"7de63060-e85e-4531-9ff9-5460800c55d6","2024-01-09T20:02:47.724+00:00","2024-10-13T15:46:41.505+00:00",[],"Department-of-Engineering-Payame-Noor-University-PNU-Tehran-Iran",{"title":2350},{"VI":2351},"Department of Engineering, Payame Noor University (PNU), Tehran, Iran",{"openalex":2353,"orcid":2355,"title":2357},{"VOID":2354},"A5007660585",{"VOID":2356},"https:\u002F\u002Forcid.org\u002F0000-0002-3679-1524",{"EN":2358},"Melika Hamian",{"id":2360,"sortIndex":111,"researcher":26,"roles":2361,"affiliations":2362,"properties":2374},"32fcb538-970a-42c9-b361-65a0e5441813",[],[2363],{"id":2364,"sortIndex":36,"affiliation":2365,"properties":26},"981f8f15-66eb-43fe-bfb0-656f05063ff9",{"id":2366,"createTime":2367,"updateTime":2368,"relativeEntities":2369,"slug":2370,"properties":2371,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"3ac743cc-1d20-439e-9544-bd1a8fe0e21c","2023-12-13T18:20:31.717+00:00","2024-10-13T15:46:44.801+00:00",[],"Young-Researchers-and-Elite-Club-Ardabil-Branch-Islamic-Azad-University-Ardabil-Iran",{"title":2372},{"VI":2373},"Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran",{"openalex":2375,"orcid":2377,"title":2379},{"VOID":2376},"A5101416925",{"VOID":2378},"https:\u002F\u002Forcid.org\u002F0000-0002-0867-9244",{"EN":2380},"Noradin Ghadimi",{"id":2382,"sortIndex":59,"researcher":26,"roles":2383,"affiliations":2384,"properties":2396},"5cbf648a-881a-4205-9bcf-b65fdb9d2b93",[],[2385],{"id":2386,"sortIndex":36,"affiliation":2387,"properties":26},"06f22d79-e8ad-4c86-a4b2-c09d59c63ee6",{"id":2388,"createTime":2389,"updateTime":2390,"relativeEntities":2391,"slug":2392,"properties":2393,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"92148e5f-0902-4560-8d1d-172547396c75","2024-01-09T21:51:27.663+00:00","2024-10-13T15:46:41.536+00:00",[],"Abadan-School-of-Medical-Sciences-Abadan-Iran",{"title":2394},{"VI":2395},"Abadan School of Medical Sciences, Abadan, Iran",{"openalex":2397,"orcid":2399,"title":2401},{"VOID":2398},"A5008664476",{"VOID":2400},"https:\u002F\u002Forcid.org\u002F0000-0001-9397-643X",{"EN":2402},"Milad Janghorban Lariche",{"id":2404,"sortIndex":115,"researcher":26,"roles":2405,"affiliations":2406,"properties":2418},"33e2fd6b-d2b3-4293-ad00-2a2ed31b712a",[],[2407],{"id":2408,"sortIndex":36,"affiliation":2409,"properties":26},"3c6ec087-8db2-478a-aeed-b363b1914001",{"id":2410,"createTime":2411,"updateTime":2412,"relativeEntities":2413,"slug":2414,"properties":2415,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"f4d02197-5a54-4627-ab15-c76ffb5de353","2024-01-30T11:31:07.324+00:00","2024-10-13T15:46:41.515+00:00",[],"Department-of-Industrial-Engineering-University-of-Houston-TX-United-States",{"title":2416},{"VI":2417},"Department of Industrial Engineering, University of Houston, TX, United States",{"openalex":2419,"title":2421},{"VOID":2420},"A5014213614",{"EN":2422},"Ayda Darvishan",{"id":2424,"sortIndex":162,"researcher":26,"roles":2425,"affiliations":2426,"properties":2438},"be780669-4240-4999-a0bf-97ed1365a7be",[],[2427],{"id":2428,"sortIndex":36,"affiliation":2429,"properties":26},"a596f7ef-e1f3-4056-8403-5b800c45b76e",{"id":2430,"createTime":2431,"updateTime":2432,"relativeEntities":2433,"slug":2434,"properties":2435,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"20995995-90e9-45eb-acd0-6383135df72f","2024-01-21T16:27:36.386+00:00","2024-10-13T15:46:41.558+00:00",[],"School-of-Electrical-Electronic-and-Communications-Engineering-University-College-Dublin-Dublin-Ireland",{"title":2436},{"VI":2437},"School of Electrical, Electronic, and Communications Engineering, University College Dublin, Dublin, Ireland",{"openalex":2439,"orcid":2441,"title":2443},{"VOID":2440},"A5012974149",{"VOID":2442},"https:\u002F\u002Forcid.org\u002F0000-0003-0088-5219",{"EN":2444},"Alireza Nouri",{"id":2446,"sortIndex":114,"researcher":26,"roles":2447,"affiliations":2448,"properties":2460},"37da5f3e-9625-4008-8903-4a1d846b3ce2",[],[2449],{"id":2450,"sortIndex":36,"affiliation":2451,"properties":26},"a4bf96a1-461e-4c09-9ec3-1f1af7764ea2",{"id":2452,"createTime":2453,"updateTime":2454,"relativeEntities":2455,"slug":2456,"properties":2457,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"783a7bdd-3342-4820-9388-f3b3ceb07b0d","2024-01-11T03:26:34.458+00:00","2024-10-13T15:46:41.526+00:00",[],"Computer-Science-University-of-Human-Development-Sulaimaniyah-Iraq",{"title":2458},{"VI":2459},"Computer Science, University of Human Development, Sulaimaniyah, Iraq",{"openalex":2461,"orcid":2463,"title":2465},{"VOID":2462},"A5002779288",{"VOID":2464},"https:\u002F\u002Forcid.org\u002F0000-0003-1088-4551",{"EN":2466},"Mehdi Hosseinzadeh",{"url":26,"publisher":2468,"properties":2490},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":2469,"slug":663,"properties":2470,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":2473,"manageAffiliations":2474,"indexDatabases":2475,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":2471,"title":2472},{"VOID":666},{"EN":668},[],[],[2476,2483],{"id":738,"indexDatabase":2477,"url":751,"indexYears":752,"academicFieldIds":2482,"indexDatabaseRanking":757},{"id":740,"createTime":741,"updateTime":742,"relativeEntities":2478,"label":2479,"description":2480,"key":748,"publicationTags":2481,"standard":26},[],{"EN":745,"VI":745},{"EN":745,"VI":747},[750],[754,755,756],{"id":717,"indexDatabase":2484,"url":732,"indexYears":26,"academicFieldIds":2489,"indexDatabaseRanking":26},{"id":719,"createTime":720,"updateTime":721,"relativeEntities":2485,"label":2486,"description":2487,"key":728,"publicationTags":2488,"standard":26},[],{"EN":724,"VI":724},{"VI":726,"EN":727},[730,731],[734,735,736],{"volume":2491,"pages":2493},{"VOID":2492},"72",{"VOID":2494},"203-212",284,{"total":2495,"publishYear":26,"statisticByYear":2497},{"2018":173,"2019":125,"2020":401,"2021":348,"2022":257,"2023":260,"2024":162},"2018-06-01",2018,[2501,2505,2508,2511,2514,2517,2521,2525,2529,2533,2537,2541,2545,2548,2551,2555,2559,2563,2567,2571,2574,2577,2580,2584,2588,2592,2596,2600,2604,2607],{"id":26,"text":2502,"url":26,"identifiers":2503},"Abedi Pahnehkolaeia, 2017, Gradient-based water cycle algorithm with evaporation rate applied to chaos suppression, Appl. Soft Comput., 53, 420, 10.1016\u002Fj.asoc.2016.12.030",{"doi":2504},"10.1016\u002Fj.asoc.2016.12.030",{"id":26,"text":2506,"url":26,"identifiers":2507},"Abedinia, 2017, Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm, Comput. Intelligence",{},{"id":26,"text":2509,"url":26,"identifiers":2510},"Abedinia, 2013, Modified harmony search algorithm based unit commitment with plug-in hybrid electric vehicles, J. Artif. Intell. Electr. Eng., 2, 49",{},{"id":26,"text":2512,"url":26,"identifiers":2513},"Afkousi-Paqaleh, 2010, An implementation of harmony search algorithm to unit commitment problem, 215",{},{"id":26,"text":2515,"url":26,"identifiers":2516},"Akbary, 2017, Extracting appropriate nodal parginal prices for all types of committed reserve, Comput. Econ., 1",{},{"id":26,"text":2518,"url":26,"identifiers":2519},"Carvalho, 2013, A mixed-integer linear approach for assessing the impact of bilateral contracts in a combined energy market operating under payment minimization, J. Control Autom. Electr. Syst., 24, 649, 10.1007\u002Fs40313-013-0056-8",{"doi":2520},"10.1007\u002Fs40313-013-0056-8",{"id":26,"text":2522,"url":26,"identifiers":2523},"Ciornei, 2013, Recent methodologies and approaches for the economic dispatch of generation in power systems, Int. Trans. Electr. Energ. Syst., 23, 1002, 10.1002\u002Fetep.1635",{"doi":2524},"10.1002\u002Fetep.1635",{"id":26,"text":2526,"url":26,"identifiers":2527},"Deep, 2007, A new crossover operator for real coded genetic algorithms, Appl. Math. Comput., 188, 895, 10.1016\u002Fj.amc.2006.10.047",{"doi":2528},"10.1016\u002Fj.amc.2006.10.047",{"id":26,"text":2530,"url":26,"identifiers":2531},"Deep, 2007, A new mutation operator for real coded genetic algorithms, Appl. Math. Comput., 193, 211, 10.1016\u002Fj.amc.2007.03.046",{"doi":2532},"10.1016\u002Fj.amc.2007.03.046",{"id":26,"text":2534,"url":26,"identifiers":2535},"Fernandez-Blanco, 2012, A unified bilevel programming framework for price-based market clearing under marginal pricing, IEEE Trans. Power Syst., 27, 517,525, 10.1109\u002FTPWRS.2011.2161348",{"doi":2536},"10.1109\u002FTPWRS.2011.2161348",{"id":26,"text":2538,"url":26,"identifiers":2539},"Fernandez-Blanco, 2017, On the solution of revenue- and network-constrained day-ahead market clearing under marginal pricing Part I, IEEE Trans. Power Syst., 32, 208, 10.1109\u002FTPWRS.2016.2551046",{"doi":2540},"10.1109\u002FTPWRS.2016.2551046",{"id":26,"text":2542,"url":26,"identifiers":2543},"Garg, 2017, Robust model design for evaluation of power characteristics of the cleaner energy system, Renew. Energy, 112, 302, 10.1016\u002Fj.renene.2017.05.041",{"doi":2544},"10.1016\u002Fj.renene.2017.05.041",{"id":26,"text":2546,"url":26,"identifiers":2547},"Gollou, 2017, A new feature selection and hybrid forecast engine for day-ahead price forecasting of electricity markets, J. Intell. Fuzzy Syst., 1",{},{"id":26,"text":2549,"url":26,"identifiers":2550},"Han, X., Luh, P.B., Bragin, M.A., Yan, J.H., Yu, N., Stern, G.A., 2012. Solving payment cost co-optimization problems. In: IEEE PES General Meeting, San Diego.",{},{"id":26,"text":2552,"url":26,"identifiers":2553},"Han, 2010, Payment cost minimization with transmission capacity constraints and losses using the objective switching method, IEEE Power Energ. Soc. Gen. Meet, 10.1109\u002FPES.2010.5589532",{"doi":2554},"10.1109\u002FPES.2010.5589532",{"id":26,"text":2556,"url":26,"identifiers":2557},"Huang, 2018, An application of evolutionary system identification algorithm in modelling of energy production system, Measurement, 114, 122, 10.1016\u002Fj.measurement.2017.09.009",{"doi":2558},"10.1016\u002Fj.measurement.2017.09.009",{"id":26,"text":2560,"url":26,"identifiers":2561},"Li, 2007, Price-based unit commitment: A case of Lagrangian relaxation versus mixed integer programming, IEEE Trans. Power Syst., 20, 2015, 10.1109\u002FTPWRS.2005.857391",{"doi":2562},"10.1109\u002FTPWRS.2005.857391",{"id":26,"text":2564,"url":26,"identifiers":2565},"Liu, 2017, Electricity load forecasting by an improved forecast engine for building level consumers, Energy, 139, 18, 10.1016\u002Fj.energy.2017.07.150",{"doi":2566},"10.1016\u002Fj.energy.2017.07.150",{"id":26,"text":2568,"url":26,"identifiers":2569},"Maleksaeedi, 2015, A new two-stage algorithm for solving power flow tracing, Complexity, 21, 187, 10.1002\u002Fcplx.21555",{"doi":2570},"10.1002\u002Fcplx.21555",{"id":26,"text":2572,"url":26,"identifiers":2573},"Mirzapour, 2017, A new prediction model of battery and wind-solar output in hybrid power system, J. Ambient Intell. Humanized Comput., 1",{},{"id":26,"text":2575,"url":26,"identifiers":2576},"Mohsen, 2017, Small-scale building load forecast based on hybrid forecast engine, Neural Process. Lett., 1",{},{"id":26,"text":2578,"url":26,"identifiers":2579},"Morsali, 2011, Intelligent unit commitment with plug-in hybrid electric vehicles, Int. Rev. Electr. Eng., 6",{},{"id":26,"text":2581,"url":26,"identifiers":2582},"Mousavi, 2015, A memetic algorithm applied to trajectory control by tuning of fractional order proportional-integral-derivative controllers, Appl. Soft Comput., 36, 599, 10.1016\u002Fj.asoc.2015.08.009",{"doi":2583},"10.1016\u002Fj.asoc.2015.08.009",{"id":26,"text":2585,"url":26,"identifiers":2586},"Noruzi, 2015, A new method for probabilistic assessments in power systems, combining monte carlo and stochastic-algebraic methods, Complexity, 21, 100, 10.1002\u002Fcplx.21582",{"doi":2587},"10.1002\u002Fcplx.21582",{"id":26,"text":2589,"url":26,"identifiers":2590},"Nouri, 2013, Probabilistic assessment and sensitivity analysis of marginal price of different services in power markets, IEEE Syst. J., 7, 873, 10.1109\u002FJSYST.2013.2256322",{"doi":2591},"10.1109\u002FJSYST.2013.2256322",{"id":26,"text":2593,"url":26,"identifiers":2594},"Nouri, 2017, Payment minimization auction with security constraints, IET Gener. Transm. Distrib., 11, 1370, 10.1049\u002Fiet-gtd.2016.0537",{"doi":2595},"10.1049\u002Fiet-gtd.2016.0537",{"id":26,"text":2597,"url":26,"identifiers":2598},"Vijayaraghavan, 2018, Fracture mechanics modelling of lithium-ion batteries under pinch torsion test, Measurement, 114, 382, 10.1016\u002Fj.measurement.2017.10.008",{"doi":2599},"10.1016\u002Fj.measurement.2017.10.008",{"id":26,"text":2601,"url":26,"identifiers":2602},"Wolpert, 1997, No free lunch theorems for optimization, IEEE Trans. Evol. Comput., 1, 67, 10.1109\u002F4235.585893",{"doi":2603},"10.1109\u002F4235.585893",{"id":26,"text":2605,"url":26,"identifiers":2606},"Wood, 1984",{},{"id":26,"text":2608,"url":26,"identifiers":2609},"Xu, 2013, Probabilistic model of payment cost minimization considering wind power and its uncertainty, IEEE Trans. Sustainable Energy, 4, 716, 10.1109\u002FTSTE.2013.2242908",{"doi":2610},"10.1109\u002FTSTE.2013.2242908",{"id":2612,"createTime":2613,"updateTime":2613,"relativeEntities":2614,"slug":2615,"properties":2616,"entityType":778,"verifyStatus":25,"verifyTime":2613,"verifyNote":779,"syncStatus":28,"languages":2627,"translateLanguages":26,"viewCount":36,"primaryUrl":2628,"fullTextUrl":26,"authors":2629,"publicationType":822,"publisherRelationship":2720,"citationCount":2747,"citationInfo":2748,"publishDate":2498,"publishYear":2499,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":2750,"isForceReanalyzing":946},"55c233d6-0817-40c0-b029-44c0c2532283","2024-09-24T01:56:49.576+00:00",[],"Leukemia-diagnosis-in-blood-slides-using-transfer-learning-in-CNNs-and-SVM-for-classification",{"mag":2617,"keywords":2619,"openalex":2620,"abstract":2622,"title":2623,"doi":2625},{"VOID":2618},"2801148351",{},{"VOID":2621},"W2801148351",{},{"EN":2624},"Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification",{"VOID":2626},"10.1016\u002Fj.engappai.2018.04.024",[102],"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0952197618301039",[2630,2652,2669,2686,2703],{"id":2631,"sortIndex":59,"researcher":26,"roles":2632,"affiliations":2633,"properties":2645},"9ce3fcf1-dde6-48a2-9dad-c0f1ba9fe1cd",[],[2634],{"id":2635,"sortIndex":36,"affiliation":2636,"properties":26},"3bbb00d1-1a7d-4df9-8bd4-048f6d3ac557",{"id":2637,"createTime":2638,"updateTime":2639,"relativeEntities":2640,"slug":2641,"properties":2642,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"a294b47d-8f34-40d4-a538-77b012349b7d","2024-04-21T09:58:31.101+00:00","2024-09-24T01:56:49.626+00:00",[],"Federal-University-of-Piau%C3%AD-Teresina-Brazil",{"title":2643},{"EN":2644},"Federal University of Piauí, Teresina, Brazil",{"openalex":2646,"orcid":2648,"title":2650},{"VOID":2647},"A5028793428",{"VOID":2649},"https:\u002F\u002Forcid.org\u002F0000-0002-7163-7469",{"EN":2651},"Romuere Silva",{"id":2653,"sortIndex":36,"researcher":26,"roles":2654,"affiliations":2655,"properties":2662},"35a06dc4-9e99-4014-b2f1-6086b3d1b627",[],[2656],{"id":2657,"sortIndex":36,"affiliation":2658,"properties":26},"6a032ead-04fd-4961-87bf-dc688af8479a",{"id":2637,"createTime":2638,"updateTime":2639,"relativeEntities":2659,"slug":2641,"properties":2660,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":2661},{"EN":2644},{"openalex":2663,"orcid":2665,"title":2667},{"VOID":2664},"A5035341456",{"VOID":2666},"https:\u002F\u002Forcid.org\u002F0000-0002-4690-3921",{"EN":2668},"Luis H. S. Vogado",{"id":2670,"sortIndex":114,"researcher":26,"roles":2671,"affiliations":2672,"properties":2679},"72329576-9e65-4c67-915f-c7c47b4b0ef0",[],[2673],{"id":2674,"sortIndex":36,"affiliation":2675,"properties":26},"c7ae4b03-9387-4b06-98a7-94634485301a",{"id":2637,"createTime":2638,"updateTime":2639,"relativeEntities":2676,"slug":2641,"properties":2677,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":2678},{"EN":2644},{"openalex":2680,"orcid":2682,"title":2684},{"VOID":2681},"A5072240451",{"VOID":2683},"https:\u002F\u002Forcid.org\u002F0000-0003-2824-2645",{"EN":2685},"Flávio Araújo",{"id":2687,"sortIndex":111,"researcher":26,"roles":2688,"affiliations":2689,"properties":2696},"e438fce2-c772-46d3-96c3-e192cd7abac3",[],[2690],{"id":2691,"sortIndex":36,"affiliation":2692,"properties":26},"b5806bf7-6573-4293-b937-4d249b0734c1",{"id":2637,"createTime":2638,"updateTime":2639,"relativeEntities":2693,"slug":2641,"properties":2694,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":2695},{"EN":2644},{"openalex":2697,"orcid":2699,"title":2701},{"VOID":2698},"A5080600223",{"VOID":2700},"https:\u002F\u002Forcid.org\u002F0000-0002-3938-5089",{"EN":2702},"Kelson Aires",{"id":2704,"sortIndex":115,"researcher":26,"roles":2705,"affiliations":2706,"properties":2713},"2aabe7a9-40e6-484d-b5e3-03b1134fef37",[],[2707],{"id":2708,"sortIndex":36,"affiliation":2709,"properties":26},"b3636742-424e-4522-809e-e8b63dec889a",{"id":2637,"createTime":2638,"updateTime":2639,"relativeEntities":2710,"slug":2641,"properties":2711,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":2712},{"EN":2644},{"openalex":2714,"orcid":2716,"title":2718},{"VOID":2715},"A5005236232",{"VOID":2717},"https:\u002F\u002Forcid.org\u002F0000-0001-8180-4032",{"EN":2719},"Rodrigo Veras",{"url":26,"publisher":2721,"properties":2743},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":2722,"slug":663,"properties":2723,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":2726,"manageAffiliations":2727,"indexDatabases":2728,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":2724,"title":2725},{"VOID":666},{"EN":668},[],[],[2729,2736],{"id":738,"indexDatabase":2730,"url":751,"indexYears":752,"academicFieldIds":2735,"indexDatabaseRanking":757},{"id":740,"createTime":741,"updateTime":742,"relativeEntities":2731,"label":2732,"description":2733,"key":748,"publicationTags":2734,"standard":26},[],{"EN":745,"VI":745},{"EN":745,"VI":747},[750],[754,755,756],{"id":717,"indexDatabase":2737,"url":732,"indexYears":26,"academicFieldIds":2742,"indexDatabaseRanking":26},{"id":719,"createTime":720,"updateTime":721,"relativeEntities":2738,"label":2739,"description":2740,"key":728,"publicationTags":2741,"standard":26},[],{"EN":724,"VI":724},{"VI":726,"EN":727},[730,731],[734,735,736],{"volume":2744,"pages":2745},{"VOID":2492},{"VOID":2746},"415-422",224,{"total":2747,"publishYear":26,"statisticByYear":2749},{"2018":59,"2019":234,"2020":285,"2021":259,"2022":358,"2023":257,"2024":241},[2751,2754,2758,2761,2765,2768,2772,2776,2780,2784,2788,2792,2796,2799,2802,2805,2809,2813,2817,2821,2825,2829,2832,2835,2839,2843,2846,2849,2853,2857,2860,2864,2867,2870,2874,2878,2881,2884,2888,2891],{"id":26,"text":2752,"url":26,"identifiers":2753},"Agaian, 2018, A new acute leukaemia-automated classification system, Comput. Meth. Biomech. Biomed. Eng.: Imaging Vis., 6, 303",{},{"id":26,"text":2755,"url":26,"identifiers":2756},"Aha, 1991, Instance-based learning algorithms, Mach. Learn., 6, 37, 10.1007\u002FBF00153759",{"doi":2757},"10.1007\u002FBF00153759",{"id":26,"text":2759,"url":26,"identifiers":2760},"Athiwaratkun, B., Kang, K., 2015. Feature representation in convolutional neural networks, CoRR abs\u002F1507.02313. arXiv:1507.02313.",{},{"id":26,"text":2762,"url":26,"identifiers":2763},"Breiman, 2001, Random forests, Mach. Learn., 45, 5, 10.1023\u002FA:1010933404324",{"doi":2764},"10.1023\u002FA:1010933404324",{"id":26,"text":2766,"url":26,"identifiers":2767},"Castelluccio, M., Poggi, G., Sansone, C., Verdoliva, L., 2015. Land use classification in remote sensing images by convolutional neural networks, pp. 1–11, CoRR abs\u002F1508.00092.",{},{"id":26,"text":2769,"url":26,"identifiers":2770},"Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A., 2014. Return of the devil in the details: delving deep into convolutional nets. In: British Machine Vision Conference, arXiv:1405.3531.",{"doi":2771},"10.5244\u002FC.28.6",{"id":26,"text":2773,"url":26,"identifiers":2774},"chen He, 1990, Texture unit, texture spectrum, and texture analysis, IEEE Trans. Geosci. Remote Sens., 28, 509, 10.1109\u002FTGRS.1990.572934",{"doi":2775},"10.1109\u002FTGRS.1990.572934",{"id":26,"text":2777,"url":26,"identifiers":2778},"Cortes, 1995, Support-vector networks, Mach. Learn., 20, 273, 10.1007\u002FBF00994018",{"doi":2779},"10.1007\u002FBF00994018",{"id":26,"text":2781,"url":26,"identifiers":2782},"Friedman, 1997, Bayesian network classifiers, Mach. Learn., 29, 131, 10.1023\u002FA:1007465528199",{"doi":2783},"10.1023\u002FA:1007465528199",{"id":26,"text":2785,"url":26,"identifiers":2786},"Guyon, 2006, An introduction to feature extraction, 1, 10.1007\u002F978-3-540-35488-8_1",{"doi":2787},"10.1007\u002F978-3-540-35488-8_1",{"id":26,"text":2789,"url":26,"identifiers":2790},"Hall, 2009, The weka data mining software: An update, SIGKDD Explor. Newslett., 11, 10, 10.1145\u002F1656274.1656278",{"doi":2791},"10.1145\u002F1656274.1656278",{"id":26,"text":2793,"url":26,"identifiers":2794},"Haralick, 1973, Texture features for image classification, IEEE Trans. Syst. Man Cybern., 3, 610, 10.1109\u002FTSMC.1973.4309314",{"doi":2795},"10.1109\u002FTSMC.1973.4309314",{"id":26,"text":2797,"url":26,"identifiers":2798},"Jia, 2014, Caffe: Convolutional architecture for fast feature embedding, 675",{},{"id":26,"text":2800,"url":26,"identifiers":2801},"Krizhevsky, 2012, Imagenet classification with deep convolutional neural networks, 1097",{},{"id":26,"text":2803,"url":26,"identifiers":2804},"Kumar, 2016, An ensemble of fine-tuned convolutional neural networks for medical image classification, IEEE J. Biomed. Health Inform., 21, 1",{},{"id":26,"text":2806,"url":26,"identifiers":2807},"Labati, R.D., Piuri, V., Scotti, F., 2011. All-idb: The acute lymphoblastic leukemia image database for image processing. In: 18th IEEE International Conference on Image Processing, ICIP, pp. 2045–2048.",{"doi":2808},"10.1109\u002FICIP.2011.6115881",{"id":26,"text":2810,"url":26,"identifiers":2811},"Lecun, 2015, Deep learning, Nature, 521, 436, 10.1038\u002Fnature14539",{"doi":2812},"10.1038\u002Fnature14539",{"id":26,"text":2814,"url":26,"identifiers":2815},"Litjens, G.J.S., Kooi, T., Bejnordi, B.E., Setio, A.A.A., Ciompi, F., Ghafoorian, M., van der Laak, J.A.W.M., van Ginneken, B., Sánchez, C.I., 2017. A survey on deep learning in medical image analysis, CoRR abs\u002F1702.05747.",{"doi":2816},"10.1016\u002Fj.media.2017.07.005",{"id":26,"text":2818,"url":26,"identifiers":2819},"Madhukar, M., Agaian, S., Chronopoulos, A.T., 2012. New decision support tool for acute lymphoblastic leukemia classification. In: Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, pp. 8295 –8295 –12.",{"doi":2820},"10.1117\u002F12.905969",{"id":26,"text":2822,"url":26,"identifiers":2823},"Mohapatra, 2014, An ensemble classifier system for early diagnosis of acute lymphoblastic leukemia in blood microscopic images, Neural Comput. Appl., 24, 1887, 10.1007\u002Fs00521-013-1438-3",{"doi":2824},"10.1007\u002Fs00521-013-1438-3",{"id":26,"text":2826,"url":26,"identifiers":2827},"Mohaprata, S., Samanta, S.S., Patra, D., Satpathi, S., 2011. Fuzzy based blood image segmentation for automated leukemia detection. In: 2011 International Conference on Devices and Communications, pp. 1–5.",{"doi":2828},"10.1109\u002FICDECOM.2011.5738491",{"id":26,"text":2830,"url":26,"identifiers":2831},"Neoh, 2015, An intelligent decision support system for leukaemia diagnosis using microscopic blood images, Sci. Rep., 5, 1",{},{"id":26,"text":2833,"url":26,"identifiers":2834},"Omid Sarrafzadeh, 2014, Selection of the best features for leukocytes classification in blood smear microscopic images, Proc. SPIE, 9041, 9041",{},{"id":26,"text":2836,"url":26,"identifiers":2837},"Patel, 2015, Automated leukaemia detection using microscopic images, Procedia Comput. Sci., 58, 635, 10.1016\u002Fj.procs.2015.08.082",{"doi":2838},"10.1016\u002Fj.procs.2015.08.082",{"id":26,"text":2840,"url":26,"identifiers":2841},"Pentland, 1984, Fractal-based description of natural scenes, IEEE Trans. Pattern Anal. Mach. Intell., PAMI-6, 661, 10.1109\u002FTPAMI.1984.4767591",{"doi":2842},"10.1109\u002FTPAMI.1984.4767591",{"id":26,"text":2844,"url":26,"identifiers":2845},"Popescu, 2009, Multilayer perceptron and neural networks, WSEAS Trans. Circuits Syst., 8, 579",{},{"id":26,"text":2847,"url":26,"identifiers":2848},"Powers, 2011, Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation, Int. J. Mach. Learn. Technol., 2, 37",{},{"id":26,"text":2850,"url":26,"identifiers":2851},"Putzu, 2014, Leucocyte classification for leukaemia detection using image processing techniques, Artif. Intell. Med., 62, 179, 10.1016\u002Fj.artmed.2014.09.002",{"doi":2852},"10.1016\u002Fj.artmed.2014.09.002",{"id":26,"text":2854,"url":26,"identifiers":2855},"Rawat, J., Singh, A., Bhadauria, H.S., Virmani, J., 2015. Computer aided diagnostic system for detection of leukemia using microscopic images. In: 4th International Conference on Eco-Friendly Computing and Communication Systems, pp. 748–756.",{"doi":2856},"10.1016\u002Fj.procs.2015.10.113",{"id":26,"text":2858,"url":26,"identifiers":2859},"Rollins-Raval, 2012, Experience with cellavision dm96 for peripheral blood differentials in a large multi-center academic hospital system, J. Pathol. Inform., 3, 1",{},{"id":26,"text":2861,"url":26,"identifiers":2862},"Russakovsky, 2015, Imagenet large scale visual recognition challenge, Int. J. Comput. Vis. (IJCV), 115, 211, 10.1007\u002Fs11263-015-0816-y",{"doi":2863},"10.1007\u002Fs11263-015-0816-y",{"id":26,"text":2865,"url":26,"identifiers":2866},"Sarrafzadeh, 2015, Nucleus and cytoplasm segmentation in microscopic images using K means clustering and region growing, Adv. Biomed. Res., 79",{},{"id":26,"text":2868,"url":26,"identifiers":2869},"Sarrafzadeh, 2015, Detecting different sub-types of acute myelogenous leukemia using dictionary learning and sparse representation, 3339",{},{"id":26,"text":2871,"url":26,"identifiers":2872},"Schwenker, 2001, Three learning phases for radial-basis-function networks, Neural Netw., 14, 439, 10.1016\u002FS0893-6080(01)00027-2",{"doi":2873},"10.1016\u002FS0893-6080(01)00027-2",{"id":26,"text":2875,"url":26,"identifiers":2876},"Shin, 2016, Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning, IEEE Trans. Med. Imaging, 35, 1285, 10.1109\u002FTMI.2016.2528162",{"doi":2877},"10.1109\u002FTMI.2016.2528162",{"id":26,"text":2879,"url":26,"identifiers":2880},"Singh, 2017, Design of new architecture to detect leukemia cancer from medical images, Int. J. Appl. Eng. Res., 11, 7087",{},{"id":26,"text":2882,"url":26,"identifiers":2883},"Singhal, 2016, Texture features for the detection of acute lymphoblastic leukemia, 535",{},{"id":26,"text":2885,"url":26,"identifiers":2886},"Tajbakhsz, 2016, Convolutional neural networks for medical image analysis: Full training or fine tuning?, IEEE Trans. Med. Imaging, 35, 1299, 10.1109\u002FTMI.2016.2535302",{"doi":2887},"10.1109\u002FTMI.2016.2535302",{"id":26,"text":2889,"url":26,"identifiers":2890},"Vincent, 2015, Acute lymphoid leukemia classification using two-step neural network classifier, 1",{},{"id":26,"text":2892,"url":26,"identifiers":2893},"Wang, D., Khosla, A., Gargeya, R., Irshad, H., Beck, A.H., 2016. Deep learning for identifying metastatic breast cancer, ArXiv E-Prints.",{},{"id":2895,"createTime":2896,"updateTime":2896,"relativeEntities":2897,"slug":2898,"properties":2899,"entityType":778,"verifyStatus":25,"verifyTime":2896,"verifyNote":779,"syncStatus":28,"languages":2910,"translateLanguages":26,"viewCount":36,"primaryUrl":2911,"fullTextUrl":26,"authors":2912,"publicationType":822,"publisherRelationship":2956,"citationCount":2985,"citationInfo":2986,"publishDate":2988,"publishYear":2989,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":2990,"isForceReanalyzing":946},"81649d64-e7c4-44aa-98e3-21ac200a4cc4","2024-11-29T17:20:53.065+00:00",[],"Ant-colony-intelligence-in-multi-agent-dynamic-manufacturing-scheduling",{"mag":2900,"keywords":2902,"openalex":2903,"abstract":2905,"title":2906,"doi":2908},{"VOID":2901},"1969953660",{},{"VOID":2904},"W1969953660",{},{"EN":2907},"Ant colony intelligence in multi-agent dynamic manufacturing scheduling",{"VOID":2909},"10.1016\u002Fj.engappai.2007.03.008",[102],"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0952197607000437",[2913,2934],{"id":2914,"sortIndex":115,"researcher":26,"roles":2915,"affiliations":2916,"properties":2927},"18ba22e9-3511-4ec7-9383-c5965a135653",[],[2917],{"id":2918,"sortIndex":36,"affiliation":2919,"properties":26},"7b86fb27-3286-4c32-b450-c7ef8033903e",{"id":2920,"createTime":2921,"updateTime":2921,"relativeEntities":2922,"slug":2923,"properties":2924,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"896337dc-9806-44bf-864c-1af59a598f76","2024-11-29T17:20:53.114+00:00",[],"Institute-of-High-Performance-Computing-1-Science-Park-Road-01-01-The-Capricorn-Singapore-Science-Park-2-Singapore-117528-and-Department-of-Mechanical-Engineering-National-University-of-Sing-TAB-",{"title":2925},{"EN":2926},"Institute of High Performance Computing, 1 Science Park Road, #01-01 The Capricorn, Singapore Science Park 2, Singapore 117528 and Department of Mechanical Engineering, National University of Sing ...#TAB#",{"openalex":2928,"orcid":2930,"title":2932},{"VOID":2929},"A5045721480",{"VOID":2931},"https:\u002F\u002Forcid.org\u002F0000-0001-9960-0310",{"EN":2933},"H. P. Lee",{"id":2935,"sortIndex":36,"researcher":26,"roles":2936,"affiliations":2937,"properties":2949},"e3e961a9-45b4-4494-88fa-079bf6d64888",[],[2938],{"id":2939,"sortIndex":36,"affiliation":2940,"properties":26},"9f930b9e-9aaf-4600-8f8c-0cb7b5c50368",{"id":2941,"createTime":2942,"updateTime":2943,"relativeEntities":2944,"slug":2945,"properties":2946,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"0bbde8ec-ea9c-4c5e-9111-4e6903b22dea","2024-11-29T17:20:53.095+00:00","2025-06-12T00:36:03.243+00:00",[],"Institute-of-High-Performance-Computing-1-Science-Park-Road-01-01-The-Capricorn-Singapore-Science-Park-2-Singapore-117528-TAB-",{"title":2947},{"EN":2948},"Institute of High Performance Computing, 1 Science Park Road, #01-01 The Capricorn, Singapore Science Park 2, Singapore 117528#TAB#",{"openalex":2950,"orcid":2952,"title":2954},{"VOID":2951},"A5100389005",{"VOID":2953},"https:\u002F\u002Forcid.org\u002F0000-0002-0608-065X",{"EN":2955},"Wei Xiang",{"url":26,"publisher":2957,"properties":2979},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":2958,"slug":663,"properties":2959,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":2962,"manageAffiliations":2963,"indexDatabases":2964,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":2960,"title":2961},{"VOID":666},{"EN":668},[],[],[2965,2972],{"id":738,"indexDatabase":2966,"url":751,"indexYears":752,"academicFieldIds":2971,"indexDatabaseRanking":757},{"id":740,"createTime":741,"updateTime":742,"relativeEntities":2967,"label":2968,"description":2969,"key":748,"publicationTags":2970,"standard":26},[],{"EN":745,"VI":745},{"EN":745,"VI":747},[750],[754,755,756],{"id":717,"indexDatabase":2973,"url":732,"indexYears":26,"academicFieldIds":2978,"indexDatabaseRanking":26},{"id":719,"createTime":720,"updateTime":721,"relativeEntities":2974,"label":2975,"description":2976,"key":728,"publicationTags":2977,"standard":26},[],{"EN":724,"VI":724},{"VI":726,"EN":727},[730,731],[734,735,736],{"volume":2980,"pages":2982,"issue":2984},{"VOID":2981},"21",{"VOID":2983},"73-85",{"VOID":852},207,{"total":2985,"publishYear":26,"statisticByYear":2987},{"2012":242,"2013":516,"2014":298,"2015":53,"2016":53,"2017":52,"2018":356,"2019":124,"2020":116,"2021":116,"2022":135,"2023":162,"2024":111},"2008-02-01",2008,[2991,2995,2998,3001,3005,3009,3013,3016,3020,3024,3028,3031,3034,3038,3042,3045,3048,3052,3056,3060,3064,3068,3072,3075,3079,3082,3086,3089,3093,3097,3100,3103,3107,3111,3115,3119,3123,3127,3130,3134,3138,3142,3146,3150,3154,3157,3160],{"id":26,"text":2992,"url":26,"identifiers":2993},"Álvarez, 2004, An application of a real-time scheduling system for turbulent manufacturing environments, Robotics and Computer-Integrated Manufacturing, 20, 485, 10.1016\u002Fj.rcim.2004.07.010",{"doi":2994},"10.1016\u002Fj.rcim.2004.07.010",{"id":26,"text":2996,"url":26,"identifiers":2997},"Baker, A.D., 1991. Manufactruing control with a market-driven contract net. Ph.D. Thesis, Electrical Computer and Systems Engineering Department, Rensselaer Polytechic Institute, Troy, NY.",{},{"id":26,"text":2999,"url":26,"identifiers":3000},"Ben-Arieh, D., Chopra, M., 1997. A game theoretic approach to real-time distributed shop floor control. In: Proceedings of the Sixth Industrial Engineering Research Conference, pp. 304–309.",{},{"id":26,"text":3002,"url":26,"identifiers":3003},"Bistline, 1998, RTSS: an interactive decision support system for solving real time scheduling problems considering customer and job priorities with schedule interruptions, Computers & Operations Research, 25, 981, 10.1016\u002FS0305-0548(97)00092-0",{"doi":3004},"10.1016\u002FS0305-0548(97)00092-0",{"id":26,"text":3006,"url":26,"identifiers":3007},"Blocher, 1998, Customer order scheduling in a general shop environment, Decision Sciences, 29, 951, 10.1111\u002Fj.1540-5915.1998.tb00883.x",{"doi":3008},"10.1111\u002Fj.1540-5915.1998.tb00883.x",{"id":26,"text":3010,"url":26,"identifiers":3011},"Blum, 2004, An ant colony optimization algorithm for shop scheduling problems, Journal of Mathematical Modelling and Algorithms, 3, 285, 10.1023\u002FB:JMMA.0000038614.39977.6f",{"doi":3012},"10.1023\u002FB:JMMA.0000038614.39977.6f",{"id":26,"text":3014,"url":26,"identifiers":3015},"Bonabeau, 1999",{},{"id":26,"text":3017,"url":26,"identifiers":3018},"Bonabeau, 2000, Inspiration for optimization from social insect behaviour, Nature, 406, 39, 10.1038\u002F35017500",{"doi":3019},"10.1038\u002F35017500",{"id":26,"text":3021,"url":26,"identifiers":3022},"Campos, 2001, Dynamic scheduling and division of labor in social insects, Adaptive Behavior, 8, 83, 10.1177\u002F105971230000800201",{"doi":3023},"10.1177\u002F105971230000800201",{"id":26,"text":3025,"url":26,"identifiers":3026},"Chryssolouris, 2001, Dynamic Scheduling of manufacturing job shops using genetic algorithm, Journal of Intelligent Manufacturing, 12, 281, 10.1023\u002FA:1011253011638",{"doi":3027},"10.1023\u002FA:1011253011638",{"id":26,"text":3029,"url":26,"identifiers":3030},"Cicirello, V.A., Smith, S.F., 2001a. Insect societies and manufacturing. In: Working Notes of The IJCAI-01 Workshop on Artificial Intelligence and Manufacturing, Seattle, WA, pp. 33–38.",{},{"id":26,"text":3032,"url":26,"identifiers":3033},"Cicirello, V.A., Smith, S.F., 2001b. Ant colony control for autonomous decentralized shop floor routing. In: IEEE 2001 Proceedings of the Fifth International Symposium on Autonomous Decentralized Systems, pp. 383–390.",{},{"id":26,"text":3035,"url":26,"identifiers":3036},"Cicirello, 2004, Wasp-like agents for distributed factory coordination, Autonomous Agents and Multi-Agent Systems, 8, 237, 10.1023\u002FB:AGNT.0000018807.12771.60",{"doi":3037},"10.1023\u002FB:AGNT.0000018807.12771.60",{"id":26,"text":3039,"url":26,"identifiers":3040},"Cowling, 2004, Dynamic scheduling of steel casting and milling using multi-agents, Production Planning & Control, 15, 178, 10.1080\u002F09537280410001662466",{"doi":3041},"10.1080\u002F09537280410001662466",{"id":26,"text":3043,"url":26,"identifiers":3044},"Dominic, 2004, Efficient dispatching rules for dynamic job shop scheduling, International Journal of Advanced Manufacturing Technology, 24, 70",{},{"id":26,"text":3046,"url":26,"identifiers":3047},"Dorigo, M., Maniesso, V., Colorni, A., 1991. Distributed optimization by ant colonies. In: Proceedings of the ECAL91—European Conference on Artificial Life, pp. 134–142.",{},{"id":26,"text":3049,"url":26,"identifiers":3050},"Fox, 1984, ISIS-knowledge based system for factory scheduling, Expert Systems, 1, 25, 10.1111\u002Fj.1468-0394.1984.tb00424.x",{"doi":3051},"10.1111\u002Fj.1468-0394.1984.tb00424.x",{"id":26,"text":3053,"url":26,"identifiers":3054},"Grabot, 1994, Dispatching rules in scheduling: a fuzzy approach, International Journal of Production Research, 32, 903, 10.1080\u002F00207549408956978",{"doi":3055},"10.1080\u002F00207549408956978",{"id":26,"text":3057,"url":26,"identifiers":3058},"Guan, Z., et al., 1995. Application of decentralized cooperative problem solving in dynamic flexible scheduling. In: Proceedings of SPIE, SPIE1995, Bellingham, Washington, pp. 179–183.",{"doi":3059},"10.1117\u002F12.217488",{"id":26,"text":3061,"url":26,"identifiers":3062},"Hadeli, 2004, Multi-agent coordination and control using stigmergy, Computers in Industry, 53, 75, 10.1016\u002FS0166-3615(03)00123-4",{"doi":3063},"10.1016\u002FS0166-3615(03)00123-4",{"id":26,"text":3065,"url":26,"identifiers":3066},"Hall, 2004, Rescheduling for new orders, Operations Research, 52, 440, 10.1287\u002Fopre.1030.0101",{"doi":3067},"10.1287\u002Fopre.1030.0101",{"id":26,"text":3069,"url":26,"identifiers":3070},"Holthaus, 1999, Scheduling in job shops with machine breakdowns: an experimental study, Computers & Industrial Engineering, 36, 137, 10.1016\u002FS0360-8352(99)00006-6",{"doi":3071},"10.1016\u002FS0360-8352(99)00006-6",{"id":26,"text":3073,"url":26,"identifiers":3074},"Java Agent DEvelopment Framework (JADE), 2006 〈http:\u002F\u002Fjade.tilab.com\u002F〉.",{},{"id":26,"text":3076,"url":26,"identifiers":3077},"Jennings, 2000, On agent-based software engineering, Artificial Intelligence, 117, 277, 10.1016\u002FS0004-3702(99)00107-1",{"doi":3078},"10.1016\u002FS0004-3702(99)00107-1",{"id":26,"text":3080,"url":26,"identifiers":3081},"Kittithreerapronchai, O., Anderson, C., 2003. Do ants paint trucks better than chickens? Market versus response thresholds for distributed dynamic scheduling. In: Proceedings of the 2003 IEEE Congress on Evolutionary Computation, pp. 1431–1439.",{},{"id":26,"text":3083,"url":26,"identifiers":3084},"Krothapalli, 1999, Design of negotiation protocols for multi-agent manufacturing systems, International Journal of Production Research, 37, 1601, 10.1080\u002F002075499191157",{"doi":3085},"10.1080\u002F002075499191157",{"id":26,"text":3087,"url":26,"identifiers":3088},"Law, 2000",{},{"id":26,"text":3090,"url":26,"identifiers":3091},"Li, 1993, A heuristic rescheduling algorithm for computer-based production scheduling systems, International Journal of Production Research, 31, 1815, 10.1080\u002F00207549308956824",{"doi":3092},"10.1080\u002F00207549308956824",{"id":26,"text":3094,"url":26,"identifiers":3095},"Lin, 1992, Integrated shop floor control using autonomous agents, IIE Transactions, 24, 57, 10.1080\u002F07408179208964224",{"doi":3096},"10.1080\u002F07408179208964224",{"id":26,"text":3098,"url":26,"identifiers":3099},"Morley, R., 1996. Painting trucks at general motors: the effectiveness of a complexity-based approach. In: Embracing Complexity: Exploring the Application of Complex Adaptive Systems to Business, the Ernst and Young Center for Business Innovation, pp. 53–58.",{},{"id":26,"text":3101,"url":26,"identifiers":3102},"Morley, R., Schelberg, C., 1993. An analysis of a plant-specific dynamic scheduler. In: Proceedings of the NSF Workshop on Dynamic Scheduling, pp. 115–122.",{},{"id":26,"text":3104,"url":26,"identifiers":3105},"Nouyan, S., 2002. Agent-based approach to dynamic task allocation. Lecture Notes in Computer Science, LNCS 2463, pp. 28–39.",{"doi":3106},"10.1007\u002F3-540-45724-0_3",{"id":26,"text":3108,"url":26,"identifiers":3109},"Parunak, 1997, Go to the ant: engineering principles from natural multi-agent systems, Annals of Operations Research, 75, 69, 10.1023\u002FA:1018980001403",{"doi":3110},"10.1023\u002FA:1018980001403",{"id":26,"text":3112,"url":26,"identifiers":3113},"Peeters, 2001, Pheromone based emergent shop floor control system for flexible flow shops, Artificial Intelligence in Engineering, 15, 343, 10.1016\u002FS0954-1810(01)00026-7",{"doi":3114},"10.1016\u002FS0954-1810(01)00026-7",{"id":26,"text":3116,"url":26,"identifiers":3117},"Peirreval, 1997, Dynamic scheduling selection of dispatching rules for manufacturing system, International Journal of Production Research, 35, 1575, 10.1080\u002F002075497195137",{"doi":3118},"10.1080\u002F002075497195137",{"id":26,"text":3120,"url":26,"identifiers":3121},"Rabelo, 1994, Negotiation in multi-agent based dynamic scheduling, Robotics and Computer-Integrated Manufacturing, 11, 303, 10.1016\u002F0736-5845(95)00007-0",{"doi":3122},"10.1016\u002F0736-5845(95)00007-0",{"id":26,"text":3124,"url":26,"identifiers":3125},"Rajendran, 1999, A comparative study of dispatching rules in dynamic flowshops and jobshops, European Journal of Operational Research, 116, 156, 10.1016\u002FS0377-2217(98)00023-X",{"doi":3126},"10.1016\u002FS0377-2217(98)00023-X",{"id":26,"text":3128,"url":26,"identifiers":3129},"Ramasesh, 1990, Dynamic job shop scheduling: a survey of simulation research, International Journal of Management Science, 18, 43",{},{"id":26,"text":3131,"url":26,"identifiers":3132},"Sabuncuoglu, 1998, Scheduling with neural networks—a review of the literature and new research directions, Production and Inventory Control, 9, 2, 10.1080\u002F095372898234460",{"doi":3133},"10.1080\u002F095372898234460",{"id":26,"text":3135,"url":26,"identifiers":3136},"Shen, 2002, Distributed manufacturing scheduling using intelligent agents, IEEE Intelligent Systems, 17, 88, 10.1109\u002F5254.988492",{"doi":3137},"10.1109\u002F5254.988492",{"id":26,"text":3139,"url":26,"identifiers":3140},"Shnits, 2004, Multicriteria dynamic scheduling methodology for controlling a flexible manufacturing system, International Journal of Production Research, 42, 3457, 10.1080\u002F00207540410001699444",{"doi":3141},"10.1080\u002F00207540410001699444",{"id":26,"text":3143,"url":26,"identifiers":3144},"Smith, 1980, The Contract Net Protocol: high level communication and control in a distributed problem solver, IEEE Transactions on Computers, C-29, 1104, 10.1109\u002FTC.1980.1675516",{"doi":3145},"10.1109\u002FTC.1980.1675516",{"id":26,"text":3147,"url":26,"identifiers":3148},"Subramaniam, 2000, Machine selection rules in a dynamic job shop, International Journal of Advanced Manufacturing Technology, 16, 902, 10.1007\u002Fs001700070008",{"doi":3149},"10.1007\u002Fs001700070008",{"id":26,"text":3151,"url":26,"identifiers":3152},"Váncza, 2000, An agent model for incentive-based production scheduling, Computers in Industry, 43, 173, 10.1016\u002FS0166-3615(00)00066-X",{"doi":3153},"10.1016\u002FS0166-3615(00)00066-X",{"id":26,"text":3155,"url":26,"identifiers":3156},"van der Zwaan, S., Marques, C., 1999. Ant colony optimization for job shop scheduling, In: Proceedings of the Third Workshop in Genetic Algorithms and Artificial Life (GAAL99).",{},{"id":26,"text":3158,"url":26,"identifiers":3159},"Walsh, W.E., Wellman, M.P., Wurman, P.R., MacKie-Mason, J.K., 1998. Some economics of market-based distributed scheduling. In: Proceedings of the Eighteenth International Conference on Distributed Computing Systems, pp. 612–621.",{},{"id":26,"text":3161,"url":26,"identifiers":3162},"Yu, 2006, Bio-inspired scheduling for dynamic job shops with flexible routing and sequence-dependent setups, International Journal of Production Research, 44, 4793, 10.1080\u002F00207540600621094",{"doi":3163},"10.1080\u002F00207540600621094",{"id":3165,"createTime":3166,"updateTime":3166,"relativeEntities":3167,"slug":3168,"properties":3169,"entityType":778,"verifyStatus":25,"verifyTime":3166,"verifyNote":779,"syncStatus":28,"languages":3180,"translateLanguages":26,"viewCount":36,"primaryUrl":3181,"fullTextUrl":26,"authors":3182,"publicationType":822,"publisherRelationship":3204,"citationCount":350,"citationInfo":3232,"publishDate":2231,"publishYear":2232,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":3234,"isForceReanalyzing":946},"34052b4c-31a7-4a3e-b5e6-9c2a350301f5","2025-02-05T03:00:02.073+00:00",[],"Two-level-and-hybrid-ensembles-of-decision-trees-for-high-performance-concrete-compressive-strength-prediction",{"mag":3170,"keywords":3172,"openalex":3173,"abstract":3175,"title":3176,"doi":3178},{"VOID":3171},"1998253841",{},{"VOID":3174},"W1998253841",{},{"EN":3177},"Two-level and hybrid ensembles of decision trees for high performance concrete compressive strength prediction",{"VOID":3179},"10.1016\u002Fj.engappai.2013.03.014",[102],"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0952197613000560",[3183],{"id":3184,"sortIndex":36,"researcher":26,"roles":3185,"affiliations":3186,"properties":3197},"0e8975c2-325b-49ce-a23e-6ba625fb1fcb",[],[3187],{"id":3188,"sortIndex":36,"affiliation":3189,"properties":26},"5033545f-713f-4986-89d4-7579352a6af9",{"id":3190,"createTime":3191,"updateTime":3191,"relativeEntities":3192,"slug":3193,"properties":3194,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"7ebec63e-114b-47c6-95d8-7868f72d273d","2025-02-05T03:00:02.143+00:00",[],"Turkish-Cooperation-and-Coordination-Agency-T%C4%B0KA-Atat%C3%BCrk-Bulvar%C4%B1-No-15-06050-Ulus-Ankara-Turkey",{"title":3195},{"EN":3196},"Turkish Cooperation and Coordination Agency (TİKA), Atatürk Bulvarı No:15 06050 Ulus, Ankara, Turkey",{"openalex":3198,"orcid":3200,"title":3202},{"VOID":3199},"A5037539465",{"VOID":3201},"https:\u002F\u002Forcid.org\u002F0000-0001-5037-5829",{"EN":3203},"Halil İbrahim Erdal",{"url":26,"publisher":3205,"properties":3227},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":3206,"slug":663,"properties":3207,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":3210,"manageAffiliations":3211,"indexDatabases":3212,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":3208,"title":3209},{"VOID":666},{"EN":668},[],[],[3213,3220],{"id":738,"indexDatabase":3214,"url":751,"indexYears":752,"academicFieldIds":3219,"indexDatabaseRanking":757},{"id":740,"createTime":741,"updateTime":742,"relativeEntities":3215,"label":3216,"description":3217,"key":748,"publicationTags":3218,"standard":26},[],{"EN":745,"VI":745},{"EN":745,"VI":747},[750],[754,755,756],{"id":717,"indexDatabase":3221,"url":732,"indexYears":26,"academicFieldIds":3226,"indexDatabaseRanking":26},{"id":719,"createTime":720,"updateTime":721,"relativeEntities":3222,"label":3223,"description":3224,"key":728,"publicationTags":3225,"standard":26},[],{"EN":724,"VI":724},{"VI":726,"EN":727},[730,731],[734,735,736],{"volume":3228,"pages":3229,"issue":3231},{"VOID":2223},{"VOID":3230},"1689-1697",{"VOID":2227},{"total":350,"publishYear":26,"statisticByYear":3233},{"2014":115,"2015":158,"2016":59,"2017":111,"2018":52,"2019":114,"2020":52,"2021":336,"2022":239,"2023":402,"2024":204},[3235,3239,3242,3246,3249,3253,3257,3260,3264,3268,3272,3275,3279,3283,3287,3291,3295,3299,3302,3305,3309,3313,3316,3320,3323,3326,3330,3334,3337,3340,3343,3346,3350,3354,3357,3361,3365,3369,3373,3376,3380,3384,3388],{"id":26,"text":3236,"url":26,"identifiers":3237},"Aertsen, 2010, Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests, Ecol. Modelling, 221, 1119, 10.1016\u002Fj.ecolmodel.2010.01.007",{"doi":3238},"10.1016\u002Fj.ecolmodel.2010.01.007",{"id":26,"text":3240,"url":26,"identifiers":3241},"Asuncion, A., Newman, D.J., 2007. UCI Machine Learning Repository, University of California, School of Information and Computer Science, Irvine, CA,. Available from: 〈http:\u002F\u002Fwww.ics.uci.edu\u002F~mlearn\u002FMLRepository.html〉.",{},{"id":26,"text":3243,"url":26,"identifiers":3244},"Atici, 2011, Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network, Expert Syst. Appl., 38, 9609, 10.1016\u002Fj.eswa.2011.01.156",{"doi":3245},"10.1016\u002Fj.eswa.2011.01.156",{"id":26,"text":3247,"url":26,"identifiers":3248},"Breiman, L., 1999. Using Adaptive Bagging to Debias Regressions. Technical Report No. 547 of University of California, Berkeley.",{},{"id":26,"text":3250,"url":26,"identifiers":3251},"Breiman, 1996, Bagging predictors, Machine Learn., 24, 123, 10.1007\u002FBF00058655",{"doi":3252},"10.1007\u002FBF00058655",{"id":26,"text":3254,"url":26,"identifiers":3255},"Bühlmann, 2002, Analyzing bagging, Ann. Stat., 30, 927, 10.1214\u002Faos\u002F1031689014",{"doi":3256},"10.1214\u002Faos\u002F1031689014",{"id":26,"text":3258,"url":26,"identifiers":3259},"Chang, C.Z., 1997. Research on the Mix Proportion of High Flowing Eugenic Concrete. Chung Hua Univ., Hsin Chu, Taiwan.",{},{"id":26,"text":3261,"url":26,"identifiers":3262},"Chang, 1996, A mix proportioning methodology for high-performance concrete, J. Chin. Inst. Eng., 19, 645, 10.1080\u002F02533839.1996.9677830",{"doi":3263},"10.1080\u002F02533839.1996.9677830",{"id":26,"text":3265,"url":26,"identifiers":3266},"Chou, 2012, Concrete compressive strength analysis using a combined classification and regression technique, Autom. Constr., 24, 52, 10.1016\u002Fj.autcon.2012.02.001",{"doi":3267},"10.1016\u002Fj.autcon.2012.02.001",{"id":26,"text":3269,"url":26,"identifiers":3270},"Chou, 2011, Optimizing the prediction accuracy of concrete compressive strength based on a comparison of data-mining techniques, J. Comput. Civ. Eng., 25, 242, 10.1061\u002F(ASCE)CP.1943-5487.0000088",{"doi":3271},"10.1061\u002F(ASCE)CP.1943-5487.0000088",{"id":26,"text":3273,"url":26,"identifiers":3274},"Chung, F.C., 1995. Study on Characteristic of Coarse Aggregate in High-Performance Concrete. National Taiwan Univ. of Science and Technology. Taipei, Taiwan.",{},{"id":26,"text":3276,"url":26,"identifiers":3277},"Erdal, 2013, Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms, J. Hydrol., 477, 119, 10.1016\u002Fj.jhydrol.2012.11.015",{"doi":3278},"10.1016\u002Fj.jhydrol.2012.11.015",{"id":26,"text":3280,"url":26,"identifiers":3281},"Erdal, 2013, High performance concrete compressive strength forecasting using ensemble models based on discrete wavelet transform, Eng. Appl. Artif. Intell., 26, 1246, 10.1016\u002Fj.engappai.2012.10.014",{"doi":3282},"10.1016\u002Fj.engappai.2012.10.014",{"id":26,"text":3284,"url":26,"identifiers":3285},"Fazel-Zarandi, 2008, Fuzzy polynomial neural networks for approximation of the compressive strength of concrete, Appl. Soft Comput., 8, 488, 10.1016\u002Fj.asoc.2007.02.010",{"doi":3286},"10.1016\u002Fj.asoc.2007.02.010",{"id":26,"text":3288,"url":26,"identifiers":3289},"Friedman, 2001, Greedy function approximation, a gradient boosting machine, Ann. Stat., 29, 1189, 10.1214\u002Faos\u002F1013203451",{"doi":3290},"10.1214\u002Faos\u002F1013203451",{"id":26,"text":3292,"url":26,"identifiers":3293},"Friedman, 2002, Stochastic gradient boosting, Comput. Stat. Data Anal., 38, 367, 10.1016\u002FS0167-9473(01)00065-2",{"doi":3294},"10.1016\u002FS0167-9473(01)00065-2",{"id":26,"text":3296,"url":26,"identifiers":3297},"Garcia-Pedrajas, 2012, Supervised subspace projections for constructing ensembles of classifiers, Inf. Sci. (Ny), 193, 1, 10.1016\u002Fj.ins.2011.06.023",{"doi":3298},"10.1016\u002Fj.ins.2011.06.023",{"id":26,"text":3300,"url":26,"identifiers":3301},"Giaccio, 1992, High-strength concretes incorporating different coarse aggregates, ACI Mater. J., 89, 242",{},{"id":26,"text":3303,"url":26,"identifiers":3304},"Gjorv, 1990, Effect of condensed silica fume on the steel–concrete bond, ACI Mater. J., 87, 573",{},{"id":26,"text":3306,"url":26,"identifiers":3307},"Gupta, 2006, Prediction of concrete strength using neural-expert system, J. Mater. Cıv. Eng., 18, 462, 10.1061\u002F(ASCE)0899-1561(2006)18:3(462)",{"doi":3308},"10.1061\u002F(ASCE)0899-1561(2006)18:3(462)",{"id":26,"text":3310,"url":26,"identifiers":3311},"Hancock, 2005, A performance comparison of modern statistical techniques for molecular descriptor selection and retention prediction in chromatographic QSRR studies, Chemometrics Intell. Lab. Syst., 76, 185, 10.1016\u002Fj.chemolab.2004.11.001",{"doi":3312},"10.1016\u002Fj.chemolab.2004.11.001",{"id":26,"text":3314,"url":26,"identifiers":3315},"Ho, T.K., 1995. Random decision forests. In: Proceedings of the Third International Conference on Document Analysis and Recognition. Montreal, Canada. pp. 278–282.",{},{"id":26,"text":3317,"url":26,"identifiers":3318},"Ho, 1998, The random subspace method for constructing decision forests, IEEE Trans. Pattern Anal. Mach. Intell., 20, 832, 10.1109\u002F34.709601",{"doi":3319},"10.1109\u002F34.709601",{"id":26,"text":3321,"url":26,"identifiers":3322},"Hwang, G.E., 1991. A Study on Blast Furnace Slag Concrete. National Chiao Tung Univ. Hsin Chu, Taiwan.",{},{"id":26,"text":3324,"url":26,"identifiers":3325},"Hwang, T.S., 1966. Compressive Strength of Blast Furnace Slag Concrete. National Chiao Tung Univ. Hsin Chu, Taiwan.",{},{"id":26,"text":3327,"url":26,"identifiers":3328},"Kasperkiewicz, 1995, HPC strength prediction using artificial neural network, J. Comput. Civ. Eng., 9, 279, 10.1061\u002F(ASCE)0887-3801(1995)9:4(279)",{"doi":3329},"10.1061\u002F(ASCE)0887-3801(1995)9:4(279)",{"id":26,"text":3331,"url":26,"identifiers":3332},"Lai, 2006, Random subspace method for multivariate feature selection, Pattern Recognition Lett., 27, 1067, 10.1016\u002Fj.patrec.2005.12.018",{"doi":3333},"10.1016\u002Fj.patrec.2005.12.018",{"id":26,"text":3335,"url":26,"identifiers":3336},"Langley, 1989, Structural concrete incorporating high volumes of ASTM class fly ash, ACI Mater. J., 86, 507",{},{"id":26,"text":3338,"url":26,"identifiers":3339},"Lee, C.F., 1994. A Study on Dry Shrinkage and Creep Property of HPC. National Taiwan Univ. of Science and Technology. Taipei, Taiwan.",{},{"id":26,"text":3341,"url":26,"identifiers":3342},"Lessard, 1993, Testing high-strength concrete compressive strength, ACI Mater. J., 90, 303",{},{"id":26,"text":3344,"url":26,"identifiers":3345},"Lin, F.Y., 1994. Mixture Proportion and Quality of HPC. National Taiwan Univ. of Science and Technology. Taipei, Taiwan.",{},{"id":26,"text":3347,"url":26,"identifiers":3348},"Louzada, 2011, Poly-bagging predictors for classification modelling for credit scoring, Expert Syst. Appl., 38, 12717, 10.1016\u002Fj.eswa.2011.04.059",{"doi":3349},"10.1016\u002Fj.eswa.2011.04.059",{"id":26,"text":3351,"url":26,"identifiers":3352},"Mert, A., Kilic, N., Akan, A., Evaluation of bagging ensemble method with time-domain feature extraction for diagnosing of arrhythmia beats. Neural Comput. Appl., http:\u002F\u002Fdx.doi.org\u002F10.1007\u002Fs00521-012-1232-7, in press.",{"doi":3353},"10.1007\u002Fs00521-012-1232-7",{"id":26,"text":3355,"url":26,"identifiers":3356},"Mo, H.L., 1995. A Study on High Performance Concrete. National Taiwan Univ. of Science and Technology. Taipei, Taiwan.",{},{"id":26,"text":3358,"url":26,"identifiers":3359},"Pino-Mejias, 2008, Reduced bootstrap aggregating of learning algorithms, Pattern Recognition Lett., 29, 265, 10.1016\u002Fj.patrec.2007.10.002",{"doi":3360},"10.1016\u002Fj.patrec.2007.10.002",{"id":26,"text":3362,"url":26,"identifiers":3363},"Schapire, 1990, The strength of weak learnability, Mach. Learn., 5, 197, 10.1007\u002FBF00116037",{"doi":3364},"10.1007\u002FBF00116037",{"id":26,"text":3366,"url":26,"identifiers":3367},"Topcu, 2008, Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic, Comput. Mater. Sci., 41, 305, 10.1016\u002Fj.commatsci.2007.04.009",{"doi":3368},"10.1016\u002Fj.commatsci.2007.04.009",{"id":26,"text":3370,"url":26,"identifiers":3371},"Wang, 2012, Two credit scoring models based on dual strategy ensemble trees, Knowledge-Based Syst., 26, 61, 10.1016\u002Fj.knosys.2011.06.020",{"doi":3372},"10.1016\u002Fj.knosys.2011.06.020",{"id":26,"text":3374,"url":26,"identifiers":3375},"Witten, 2005",{},{"id":26,"text":3377,"url":26,"identifiers":3378},"Yeh, 1998, Modeling of strength of high-performance concrete using artificial neural networks, Cem. Concr. Res., 28, 1797, 10.1016\u002FS0008-8846(98)00165-3",{"doi":3379},"10.1016\u002FS0008-8846(98)00165-3",{"id":26,"text":3381,"url":26,"identifiers":3382},"Yeh, 1999, Design of high-performance concrete mixture using neural networks and nonlinear programming, J. Comput. Civ. Eng., 13, 36, 10.1061\u002F(ASCE)0887-3801(1999)13:1(36)",{"doi":3383},"10.1061\u002F(ASCE)0887-3801(1999)13:1(36)",{"id":26,"text":3385,"url":26,"identifiers":3386},"Yeh, 2009, Knowledge discovery of concrete material using genetic operation trees, Expert Syst. Appl., 36, 5807, 10.1016\u002Fj.eswa.2008.07.004",{"doi":3387},"10.1016\u002Fj.eswa.2008.07.004",{"id":26,"text":3389,"url":26,"identifiers":3390},"Zhang, 2008, An empirical study of using rotation forest to improve regressors, Appl. Math. Comput., 195, 618, 10.1016\u002Fj.amc.2007.05.010",{"doi":3391},"10.1016\u002Fj.amc.2007.05.010",{"id":3393,"createTime":3394,"updateTime":3394,"relativeEntities":3395,"slug":3396,"properties":3397,"entityType":778,"verifyStatus":25,"verifyTime":3394,"verifyNote":779,"syncStatus":28,"languages":3408,"translateLanguages":26,"viewCount":36,"primaryUrl":3409,"fullTextUrl":26,"authors":3410,"publicationType":822,"publisherRelationship":3509,"citationCount":3537,"citationInfo":3538,"publishDate":3540,"publishYear":2499,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":3541,"isForceReanalyzing":946},"47f8c133-1b03-4744-869b-98f436229167","2025-01-05T15:30:11.814+00:00",[],"An-automatic-and-robust-features-learning-method-for-rotating-machinery-fault-diagnosis-based-on-contractive-autoencoder",{"mag":3398,"keywords":3400,"openalex":3401,"abstract":3403,"title":3404,"doi":3406},{"VOID":3399},"2892709813",{},{"VOID":3402},"W2892709813",{},{"EN":3405},"An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder",{"VOID":3407},"10.1016\u002Fj.engappai.2018.09.010",[102],"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0952197618301969",[3411,3433,3450,3467,3484],{"id":3412,"sortIndex":111,"researcher":26,"roles":3413,"affiliations":3414,"properties":3426},"63338bf2-a3f3-4c91-88c9-7e4c5173b102",[],[3415],{"id":3416,"sortIndex":36,"affiliation":3417,"properties":26},"e369e333-3da0-4b77-ae14-489084efb4be",{"id":3418,"createTime":3419,"updateTime":3420,"relativeEntities":3421,"slug":3422,"properties":3423,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"b9c6fc41-c6a4-487a-9e74-cc7ed62abca4","2024-01-03T03:27:14.816+00:00","2025-01-05T15:30:11.864+00:00",[],"School-of-Rail-Transportation-Soochow-University-Suzhou-Jiangsu-Province-China",{"title":3424},{"VI":3425},"School of Rail Transportation, Soochow University, Suzhou, Jiangsu Province, China",{"openalex":3427,"orcid":3429,"title":3431},{"VOID":3428},"A5100758788",{"VOID":3430},"https:\u002F\u002Forcid.org\u002F0000-0001-9827-4154",{"EN":3432},"Zhongkui Zhu",{"id":3434,"sortIndex":59,"researcher":26,"roles":3435,"affiliations":3436,"properties":3443},"448d01d2-f550-43e5-9cc5-ae3578b80b8c",[],[3437],{"id":3438,"sortIndex":36,"affiliation":3439,"properties":26},"e8526da0-57b3-4a85-82bf-e59b854c0a90",{"id":3418,"createTime":3419,"updateTime":3420,"relativeEntities":3440,"slug":3422,"properties":3441,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":3442},{"VI":3425},{"openalex":3444,"orcid":3446,"title":3448},{"VOID":3445},"A5101620181",{"VOID":3447},"https:\u002F\u002Forcid.org\u002F0000-0003-1131-6759",{"EN":3449},"Gaigai Cai",{"id":3451,"sortIndex":36,"researcher":26,"roles":3452,"affiliations":3453,"properties":3460},"8a1c9ab9-56cb-43ad-b3b5-49606652c682",[],[3454],{"id":3455,"sortIndex":36,"affiliation":3456,"properties":26},"a20efd32-8a7c-4eb5-a027-f721406f8840",{"id":3418,"createTime":3419,"updateTime":3420,"relativeEntities":3457,"slug":3422,"properties":3458,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":3459},{"VI":3425},{"openalex":3461,"orcid":3463,"title":3465},{"VOID":3462},"A5091072755",{"VOID":3464},"https:\u002F\u002Forcid.org\u002F0000-0002-5143-8366",{"EN":3466},"Changqing Shen",{"id":3468,"sortIndex":114,"researcher":26,"roles":3469,"affiliations":3470,"properties":3477},"a156237c-ce2d-4370-a6a9-d2f9ff8fd522",[],[3471],{"id":3472,"sortIndex":36,"affiliation":3473,"properties":26},"2171ef0a-7da7-4898-86c8-cf512ac9d0ba",{"id":3418,"createTime":3419,"updateTime":3420,"relativeEntities":3474,"slug":3422,"properties":3475,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":3476},{"VI":3425},{"openalex":3478,"orcid":3480,"title":3482},{"VOID":3479},"A5054789987",{"VOID":3481},"https:\u002F\u002Forcid.org\u002F0000-0002-3392-1020",{"EN":3483},"Jun Wang",{"id":3485,"sortIndex":115,"researcher":26,"roles":3486,"affiliations":3487,"properties":3504},"7b16a4d6-b944-42f4-a399-f71c98e1f853",[],[3488,3494],{"id":3489,"sortIndex":36,"affiliation":3490,"properties":26},"bc303e09-ed31-441e-bd2e-d7029e9a5414",{"id":3418,"createTime":3419,"updateTime":3420,"relativeEntities":3491,"slug":3422,"properties":3492,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":3493},{"VI":3425},{"id":3495,"sortIndex":115,"affiliation":3496,"properties":26},"82c821ab-0944-4e51-81c5-bc69fea58689",{"id":3497,"createTime":3498,"updateTime":3498,"relativeEntities":3499,"slug":3500,"properties":3501,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"a6e747de-f889-4ef0-a525-fef2dd7a08af","2025-01-05T15:30:11.911+00:00",[],"Wenzheng-college-of-Soochow-University-Suzhou-Jiangsu-Province-China",{"title":3502},{"EN":3503},"Wenzheng college of Soochow University, Suzhou, Jiangsu Province, China",{"openalex":3505,"title":3507},{"VOID":3506},"A5005358478",{"EN":3508},"Yumei Qi",{"url":26,"publisher":3510,"properties":3532},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":3511,"slug":663,"properties":3512,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":3515,"manageAffiliations":3516,"indexDatabases":3517,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":3513,"title":3514},{"VOID":666},{"EN":668},[],[],[3518,3525],{"id":738,"indexDatabase":3519,"url":751,"indexYears":752,"academicFieldIds":3524,"indexDatabaseRanking":757},{"id":740,"createTime":741,"updateTime":742,"relativeEntities":3520,"label":3521,"description":3522,"key":748,"publicationTags":3523,"standard":26},[],{"EN":745,"VI":745},{"EN":745,"VI":747},[750],[754,755,756],{"id":717,"indexDatabase":3526,"url":732,"indexYears":26,"academicFieldIds":3531,"indexDatabaseRanking":26},{"id":719,"createTime":720,"updateTime":721,"relativeEntities":3527,"label":3528,"description":3529,"key":728,"publicationTags":3530,"standard":26},[],{"EN":724,"VI":724},{"VI":726,"EN":727},[730,731],[734,735,736],{"volume":3533,"pages":3535},{"VOID":3534},"76",{"VOID":3536},"170-184",160,{"total":3537,"publishYear":26,"statisticByYear":3539},{"2018":115,"2019":240,"2020":168,"2021":517,"2022":516,"2023":234,"2024":50},"2018-11-01",[3542,3546,3550,3554,3557,3561,3564,3568,3572,3575,3579,3583,3587,3590,3594,3598,3602,3605,3609,3613,3617,3621,3625,3628,3631,3635,3639,3643,3647,3650,3653,3657,3661,3664,3668,3671,3675],{"id":26,"text":3543,"url":26,"identifiers":3544},"AlThobiani, 2014, An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks, Expert Syst. Appl., 41, 4113, 10.1016\u002Fj.eswa.2013.12.026",{"doi":3545},"10.1016\u002Fj.eswa.2013.12.026",{"id":26,"text":3547,"url":26,"identifiers":3548},"Bouzida, 2011, Fault diagnosis in industrial induction machines through discrete wavelet transform, IEEE Trans. Ind. Electron., 58, 4385, 10.1109\u002FTIE.2010.2095391",{"doi":3549},"10.1109\u002FTIE.2010.2095391",{"id":26,"text":3551,"url":26,"identifiers":3552},"Chen, 2015, Gearbox fault identification and classification with convolutional neural networks, Shock Vib, 10.1155\u002F2015\u002F390134",{"doi":3553},"10.1155\u002F2015\u002F390134",{"id":26,"text":3555,"url":26,"identifiers":3556},"Chen, 2014, Contractive de-noising auto-encoder, 776",{},{"id":26,"text":3558,"url":26,"identifiers":3559},"Cui, 2017, Quantitative and localization diagnosis of a defective ball bearing based on vertical-horizontal synchronization signal analysis, IEEE Trans. Ind. Electron., 64, 8695, 10.1109\u002FTIE.2017.2698359",{"doi":3560},"10.1109\u002FTIE.2017.2698359",{"id":26,"text":3562,"url":26,"identifiers":3563},"Duan, 2016, Using empirical mode decomposition scheme for helicopter main gearbox bearing defect identification, 1",{},{"id":26,"text":3565,"url":26,"identifiers":3566},"Girshick, R., Donahue, J., Darrell, T., Malik, J., 2014. Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 580–587.",{"doi":3567},"10.1109\u002FCVPR.2014.81",{"id":26,"text":3569,"url":26,"identifiers":3570},"Guo, 2016, Deep fault recognizer: An integrated model to denoise and extract features for fault diagnosis in rotating machinery, Appl. Sci., 7, 41, 10.3390\u002Fapp7010041",{"doi":3571},"10.3390\u002Fapp7010041",{"id":26,"text":3573,"url":26,"identifiers":3574},"Hannun, A., Case, C., Casper, J., Catanzaro, B., Diamos, G., Elsen, E., …,, Ng, A.Y., 2014. Deep speech: Scaling up end-to-end speech recognition. arXiv preprint arXiv:1412.5567.",{},{"id":26,"text":3576,"url":26,"identifiers":3577},"He, 2016, Sparse representation based on local time–frequency template matching for bearing transient fault feature extraction, J. Sound Vib., 370, 424, 10.1016\u002Fj.jsv.2016.01.054",{"doi":3578},"10.1016\u002Fj.jsv.2016.01.054",{"id":26,"text":3580,"url":26,"identifiers":3581},"Huo, 2017, Incipient fault diagnosis of roller bearing using optimized wavelet transform based multi-speed vibration signatures, IEEE Access, 10.1109\u002FACCESS.2017.2661967",{"doi":3582},"10.1109\u002FACCESS.2017.2661967",{"id":26,"text":3584,"url":26,"identifiers":3585},"Ji, 2013, 3D convolutional neural networks for human action recognition, IEEE Trans. Pattern Anal. Mach. Intell., 35, 221, 10.1109\u002FTPAMI.2012.59",{"doi":3586},"10.1109\u002FTPAMI.2012.59",{"id":26,"text":3588,"url":26,"identifiers":3589},"Jia, 2017, A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines, Neurocomputing",{},{"id":26,"text":3591,"url":26,"identifiers":3592},"Jia, 2016, Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data, Mech. Syst. Signal Process., 72, 303, 10.1016\u002Fj.ymssp.2015.10.025",{"doi":3593},"10.1016\u002Fj.ymssp.2015.10.025",{"id":26,"text":3595,"url":26,"identifiers":3596},"Johnson, R., Zhang, T., 2014. Effective use of word order for text categorization with convolutional neural networks. arXiv preprint arXiv:1412.1058.",{"doi":3597},"10.3115\u002Fv1\u002FN15-1011",{"id":26,"text":3599,"url":26,"identifiers":3600},"Koziol, 2014, Restricted Boltzmann machines for classification of hepatocellular carcinoma, Comput. Biol. J., 10.1155\u002F2014\u002F418069",{"doi":3601},"10.1155\u002F2014\u002F418069",{"id":26,"text":3603,"url":26,"identifiers":3604},"LeCun, 2015, Deep learning, Nature, 521, 436, 10.1038\u002Fnature14539",{"doi":2812},{"id":26,"text":3606,"url":26,"identifiers":3607},"Lei, 2013, A review on empirical mode decomposition in fault diagnosis of rotating machinery, Mech. Syst. Signal Process., 35, 108, 10.1016\u002Fj.ymssp.2012.09.015",{"doi":3608},"10.1016\u002Fj.ymssp.2012.09.015",{"id":26,"text":3610,"url":26,"identifiers":3611},"Liu, 2016, Multimodal video classification with stacked contractive autoencoders, Signal Process., 120, 761, 10.1016\u002Fj.sigpro.2015.01.001",{"doi":3612},"10.1016\u002Fj.sigpro.2015.01.001",{"id":26,"text":3614,"url":26,"identifiers":3615},"Liu, 2016, Fault diagnosis of gearbox using empirical mode decomposition and multi-fractal detrended cross-correlation analysis, J. Sound Vib., 385, 350, 10.1016\u002Fj.jsv.2016.09.005",{"doi":3616},"10.1016\u002Fj.jsv.2016.09.005",{"id":26,"text":3618,"url":26,"identifiers":3619},"Lu, 2017, Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification, Signal Process., 130, 377, 10.1016\u002Fj.sigpro.2016.07.028",{"doi":3620},"10.1016\u002Fj.sigpro.2016.07.028",{"id":26,"text":3622,"url":26,"identifiers":3623},"Lu, 2017, Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification, Adv. Eng. Inf., 32, 139, 10.1016\u002Fj.aei.2017.02.005",{"doi":3624},"10.1016\u002Fj.aei.2017.02.005",{"id":26,"text":3626,"url":26,"identifiers":3627},"Poole, B., Sohl-Dickstein, J., Ganguli, S., 2014. Analyzing noise in autoencoders and deep networks. arXiv preprint arXiv:1406.1831.",{},{"id":26,"text":3629,"url":26,"identifiers":3630},"Rifai, S., Vincent, P., Muller, X., Glorot, X., Bengio, Y., 2011. Contractive auto-encoders: Explicit invariance during feature extraction. In: Proceedings of the 28th International Conference on Machine Learning, ICML-11, pp. 833–840.",{},{"id":26,"text":3632,"url":26,"identifiers":3633},"Ronao, 2016, Human activity recognition with smartphone sensors using deep learning neural networks, Expert Syst. Appl., 59, 235, 10.1016\u002Fj.eswa.2016.04.032",{"doi":3634},"10.1016\u002Fj.eswa.2016.04.032",{"id":26,"text":3636,"url":26,"identifiers":3637},"Shao, 2017, An enhancement deep feature fusion method for rotating machinery fault diagnosis, Knowl.-Based Syst., 119, 200, 10.1016\u002Fj.knosys.2016.12.012",{"doi":3638},"10.1016\u002Fj.knosys.2016.12.012",{"id":26,"text":3640,"url":26,"identifiers":3641},"Shen, 2013, Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier, Measurement, 46, 1551, 10.1016\u002Fj.measurement.2012.12.011",{"doi":3642},"10.1016\u002Fj.measurement.2012.12.011",{"id":26,"text":3644,"url":26,"identifiers":3645},"Tamilselvan, 2013, Failure diagnosis using deep belief learning based health state classification, Reliab. Eng. Syst. Saf., 115, 124, 10.1016\u002Fj.ress.2013.02.022",{"doi":3646},"10.1016\u002Fj.ress.2013.02.022",{"id":26,"text":3648,"url":26,"identifiers":3649},"Tan, 2015, Fault diagnosis method study in roller bearing based on wavelet transform and stacked auto-encoder, 4608",{},{"id":26,"text":3651,"url":26,"identifiers":3652},"Tao, 2015, Bearing fault diagnosis method based on stacked autoencoder and softmax regression, 6331",{},{"id":26,"text":3654,"url":26,"identifiers":3655},"Tian, 2016, Motor bearing fault detection using spectral kurtosis-based feature extraction coupled with K-nearest neighbor distance analysis, IEEE Trans. Ind. Electron., 63, 1793, 10.1109\u002FTIE.2015.2509913",{"doi":3656},"10.1109\u002FTIE.2015.2509913",{"id":26,"text":3658,"url":26,"identifiers":3659},"Toshev, A., Szegedy, C., 2014. Deeppose: Human pose estimation via deep neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1653–1660.",{"doi":3660},"10.1109\u002FCVPR.2014.214",{"id":26,"text":3662,"url":26,"identifiers":3663},"Van den Oord, 2013, Deep content-based music recommendation, 2643",{},{"id":26,"text":3665,"url":26,"identifiers":3666},"Wang, 2017, Matching synchrosqueezing wavelet transform and application to aeroengine vibration monitoring, IEEE Trans. Instrum. Meas., 66, 360, 10.1109\u002FTIM.2016.2613359",{"doi":3667},"10.1109\u002FTIM.2016.2613359",{"id":26,"text":3669,"url":26,"identifiers":3670},"Xia, 2017, Fault diagnosis for rotating machinery using multiple sensors and convolutional neural networks, IEEE\u002FASME Trans. Mechatronics",{},{"id":26,"text":3672,"url":26,"identifiers":3673},"Yan, 2014, Wavelets for fault diagnosis of rotary machines: A review with applications, Signal Process., 96, 1, 10.1016\u002Fj.sigpro.2013.04.015",{"doi":3674},"10.1016\u002Fj.sigpro.2013.04.015",{"id":26,"text":3676,"url":26,"identifiers":3677},"Zhang, 2016, Deep neural network for halftone image classification based on sparse auto-encoder, Eng. Appl. Artif. Intell., 50, 245, 10.1016\u002Fj.engappai.2016.01.032",{"doi":3678},"10.1016\u002Fj.engappai.2016.01.032",{"id":3680,"createTime":3681,"updateTime":3681,"relativeEntities":3682,"slug":3683,"properties":3684,"entityType":778,"verifyStatus":25,"verifyTime":3695,"verifyNote":779,"syncStatus":28,"languages":3696,"translateLanguages":26,"viewCount":36,"primaryUrl":3697,"fullTextUrl":26,"authors":3698,"publicationType":822,"publisherRelationship":3736,"citationCount":3766,"citationInfo":3767,"publishDate":3769,"publishYear":3770,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":3771,"isForceReanalyzing":946},"5a707846-057b-4e92-b0db-0a9bb20be285","2024-12-05T15:31:09.246+00:00",[],"Knowledge-discovery-from-process-operational-data-using-PCA-and-fuzzy-clustering",{"mag":3685,"keywords":3687,"openalex":3688,"abstract":3690,"title":3691,"doi":3693},{"VOID":3686},"2000197401",{},{"VOID":3689},"W2000197401",{},{"EN":3692},"Knowledge discovery from process operational data using PCA and fuzzy clustering",{"VOID":3694},"10.1016\u002Fs0952-1976(01)00032-x","2024-12-05T15:31:09.245+00:00",[102],"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS095219760100032X",[3699,3719],{"id":3700,"sortIndex":36,"researcher":26,"roles":3701,"affiliations":3702,"properties":3714},"108db13f-49b7-48a0-8b47-b1bf14c7e5db",[],[3703],{"id":3704,"sortIndex":36,"affiliation":3705,"properties":26},"98e3973f-9cd3-4c94-a132-9b16bd036f1f",{"id":3706,"createTime":3707,"updateTime":3708,"relativeEntities":3709,"slug":3710,"properties":3711,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"43ed1771-ef05-4752-99ab-1df95049e664","2024-01-21T10:51:08.801+00:00","2024-12-30T13:18:09.673+00:00",[],"Department-of-Chemical-Engineering-The-University-of-Leeds-Leeds-LS2-9JT-UK",{"title":3712},{"VI":3713},"Department of Chemical Engineering, The University of Leeds, Leeds, LS2 9JT, UK",{"openalex":3715,"title":3717},{"VOID":3716},"A5002517038",{"EN":3718},"Y.M. Sebzalli",{"id":3720,"sortIndex":115,"researcher":26,"roles":3721,"affiliations":3722,"properties":3729},"2a2b8d4c-b44b-4c80-93cc-4c2afce0deb3",[],[3723],{"id":3724,"sortIndex":36,"affiliation":3725,"properties":26},"93976588-b3f3-4a43-a49b-62599947c056",{"id":3706,"createTime":3707,"updateTime":3708,"relativeEntities":3726,"slug":3710,"properties":3727,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":3728},{"VI":3713},{"openalex":3730,"orcid":3732,"title":3734},{"VOID":3731},"A5090888808",{"VOID":3733},"https:\u002F\u002Forcid.org\u002F0009-0009-7516-7255",{"EN":3735},"X.Z. Wang",{"url":26,"publisher":3737,"properties":3759},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":3738,"slug":663,"properties":3739,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":3742,"manageAffiliations":3743,"indexDatabases":3744,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":3740,"title":3741},{"VOID":666},{"EN":668},[],[],[3745,3752],{"id":738,"indexDatabase":3746,"url":751,"indexYears":752,"academicFieldIds":3751,"indexDatabaseRanking":757},{"id":740,"createTime":741,"updateTime":742,"relativeEntities":3747,"label":3748,"description":3749,"key":748,"publicationTags":3750,"standard":26},[],{"EN":745,"VI":745},{"EN":745,"VI":747},[750],[754,755,756],{"id":717,"indexDatabase":3753,"url":732,"indexYears":26,"academicFieldIds":3758,"indexDatabaseRanking":26},{"id":719,"createTime":720,"updateTime":721,"relativeEntities":3754,"label":3755,"description":3756,"key":728,"publicationTags":3757,"standard":26},[],{"EN":724,"VI":724},{"VI":726,"EN":727},[730,731],[734,735,736],{"volume":3760,"pages":3762,"issue":3764},{"VOID":3761},"14",{"VOID":3763},"607-616",{"VOID":3765},"5",143,{"total":3766,"publishYear":26,"statisticByYear":3768},{"2012":135,"2013":135,"2014":111,"2015":114,"2016":135,"2017":59,"2018":162,"2019":158,"2020":116,"2021":51,"2022":336,"2023":53,"2024":51},"2001-10-01",2001,[3772,3775,3779,3783,3787,3791,3795,3798,3802,3806,3810,3814,3818,3822,3826,3830,3834,3837,3841,3845,3849,3853,3857,3860,3864],{"id":26,"text":3773,"url":26,"identifiers":3774},"Bezdek, 1981",{},{"id":26,"text":3776,"url":26,"identifiers":3777},"Chen, 1998, Software sensor design using Bayesian automatic classification and back-propagation neural networks, Industrial and Engineering Chemistry Research, 37, 3985, 10.1021\u002Fie980230a",{"doi":3778},"10.1021\u002Fie980230a",{"id":26,"text":3780,"url":26,"identifiers":3781},"Chen, 1996, Robust PCA and normal region in multivariate statistical process monitoring, AIChE Journal, 42, 3563, 10.1002\u002Faic.690421228",{"doi":3782},"10.1002\u002Faic.690421228",{"id":26,"text":3784,"url":26,"identifiers":3785},"Dong, 1996, Nonlinear principal component analysis—based on principal curves and neural networks, Computers in Chemistry and Engineering, 20, 65, 10.1016\u002F0098-1354(95)00003-K",{"doi":3786},"10.1016\u002F0098-1354(95)00003-K",{"id":26,"text":3788,"url":26,"identifiers":3789},"Dunia, 1996, Identification of faulty sensors using principal component analysis, AIChE Journal, 42, 2797, 10.1002\u002Faic.690421011",{"doi":3790},"10.1002\u002Faic.690421011",{"id":26,"text":3792,"url":26,"identifiers":3793},"Friedman, M., Kandel, A., 1999. Introduction to Pattern Recognition: Statistical, Structure, Neural and Fuzzy Logic Approaches. World Scientific, Singapore.",{"doi":3794},"10.1142\u002F3641",{"id":26,"text":3796,"url":26,"identifiers":3797},"Garson, G.D., 1991. Interpreting neural-network connection weights. AI Expert April, 47–51.",{},{"id":26,"text":3799,"url":26,"identifiers":3800},"Gedeonb, 1997, Data mining of inputs, International Journal of Neural Systems, 8, 209, 10.1142\u002FS0129065797000227",{"doi":3801},"10.1142\u002FS0129065797000227",{"id":26,"text":3803,"url":26,"identifiers":3804},"Gillespie, 1998, Application of sensitivity analysis to neural network determination of financial variable relationships, Applied Stochastic Models and Data analysis, 13, 409, 10.1002\u002F(SICI)1099-0747(199709\u002F12)13:3\u002F4\u003C409::AID-ASM335>3.0.CO;2-V",{"doi":3805},"10.1002\u002F(SICI)1099-0747(199709\u002F12)13:3\u002F4\u003C409::AID-ASM335>3.0.CO;2-V",{"id":26,"text":3807,"url":26,"identifiers":3808},"Hotelling, H., 1933. Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology 24, 417–441, 498–520.",{"doi":3809},"10.1037\u002Fh0071325",{"id":26,"text":3811,"url":26,"identifiers":3812},"Jaeckle, 1998, Product design through multivariate statistical analysis of process data, AIChE Journal, 44, 1105, 10.1002\u002Faic.690440509",{"doi":3813},"10.1002\u002Faic.690440509",{"id":26,"text":3815,"url":26,"identifiers":3816},"Johnson, D.E., 1998. Applied Multivariate Methods for Data Analysts. Duxbury Press.",{"doi":3817},"10.2307\u002F2533879",{"id":26,"text":3819,"url":26,"identifiers":3820},"Kramer, 1991, Nonlinear principal component analysis using autoassociative neural networks, AIChE Journal, 37, 233, 10.1002\u002Faic.690370209",{"doi":3821},"10.1002\u002Faic.690370209",{"id":26,"text":3823,"url":26,"identifiers":3824},"Kuespert, 1994, Knowledge extraction in chemical process control, Chemical Engineering Communications, 130, 251, 10.1080\u002F00986449408936279",{"doi":3825},"10.1080\u002F00986449408936279",{"id":26,"text":3827,"url":26,"identifiers":3828},"MacGregor, 1995, Statistical process control of multivariable processes, Control Engng Practice, 3, 403, 10.1016\u002F0967-0661(95)00014-L",{"doi":3829},"10.1016\u002F0967-0661(95)00014-L",{"id":26,"text":3831,"url":26,"identifiers":3832},"MacGregor, 1994, Process monitoring and diagnosis by multiblock PLS methods, AIChE Journal, 40, 826, 10.1002\u002Faic.690400509",{"doi":3833},"10.1002\u002Faic.690400509",{"id":26,"text":3835,"url":26,"identifiers":3836},"Milne, L.K., Gedeon, T.D., Skidmore, A.K., 1995. Classifying dry sclerophyll forest from augmented satellite data: comparing neural networks, decision tree & maximum likelihood. In: Proceedings of the Australian Conference on Neural Networks, Sydney, pp. 160–163.",{},{"id":26,"text":3838,"url":26,"identifiers":3839},"Negiz, 1997, Statistical monitoring of multivariable dynamic processes with state space models, AIChE Journal, 43, 2002, 10.1002\u002Faic.690430810",{"doi":3840},"10.1002\u002Faic.690430810",{"id":26,"text":3842,"url":26,"identifiers":3843},"Neogi, 1998, Multivariate statistical analysis of an emulsion batch process, Industrial and Engineering Chemistry Research, 37, 3971, 10.1021\u002Fie980243o",{"doi":3844},"10.1021\u002Fie980243o",{"id":26,"text":3846,"url":26,"identifiers":3847},"Pearson, 1901, On lines and planes of closest fit to systems of points in space, Philosophical Magazine, 2, 559, 10.1080\u002F14786440109462720",{"doi":3848},"10.1080\u002F14786440109462720",{"id":26,"text":3850,"url":26,"identifiers":3851},"Sammon, 1969, A nonlinear mapping for data structure analysis, IEEE Transaction on Computers, C18, 401, 10.1109\u002FT-C.1969.222678",{"doi":3852},"10.1109\u002FT-C.1969.222678",{"id":26,"text":3854,"url":26,"identifiers":3855},"Santen, 1997, Statistical data analysis of a chemical plant, Computers and Chemical Engineering, 21, S1123, 10.1016\u002FS0098-1354(97)00200-7",{"doi":3856},"10.1016\u002FS0098-1354(97)00200-7",{"id":26,"text":3858,"url":26,"identifiers":3859},"Sebzalli, Y.M., 2001. Process and operator performance analysis in process operational safety. Ph.D. thesis, The University of Leeds.",{},{"id":26,"text":3861,"url":26,"identifiers":3862},"Valle, 1999, Selection of the number of principal components, Industrial and Engineering Chemistry Research, 38, 4389, 10.1021\u002Fie990110i",{"doi":3863},"10.1021\u002Fie990110i",{"id":26,"text":3865,"url":26,"identifiers":3866},"Wong, 1995, An improved technique in porosity prediction, IEEE Transaction on Geoscience and Remote Sensing, 33, 971, 10.1109\u002F36.406683",{"doi":3867},"10.1109\u002F36.406683"]