SN Computer Science

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Development of Smart Healthcare Monitoring System in IoT Environment
SN Computer Science - Tập 1 - Trang 1-11 - 2020
Md. Milon Islam, Ashikur Rahaman, Md. Rashedul Islam
Healthcare monitoring system in hospitals and many other health centers has experienced significant growth, and portable healthcare monitoring systems with emerging technologies are becoming of great concern to many countries worldwide nowadays. The advent of Internet of Things (IoT) technologies facilitates the progress of healthcare from face-to-face consulting to telemedicine. This paper propos...... hiện toàn bộ
Finding Informative Comments for Video Viewing
SN Computer Science - Tập 1 - Trang 1-14 - 2019
Seungwoo Choi, Aviv Segev
Of all the information-sharing methods on the Web, video is a factor with increasing importance and will continue to influence the future Web environment. Various services such as YouTube, Vimeo, and Liveleak are information-sharing platforms that support uploading UGC (user-generated content) to the Web. Users tend to seek related information while or after watching an informative video when they...... hiện toàn bộ
Vaccination, Booster Doses and Social Constraints: A Steady State and an Optimal Transient Approaches to Epidemics Containment
SN Computer Science - Tập 5 - Trang 1-17 - 2023
Paolo Di Giamberardino, Daniela Iacoviello
The problem of the definition of control actions to contain epidemic diseases is crucial in case of high infectivity, dangerous or fatal consequences, large inhabited areas involved. Unfortunately, during the last three years, the COVID-19 pandemic has represented a critical situation all over the world. On the basis of the experiences for known diseases and the literature on the epidemic modeling...... hiện toàn bộ
A Systematic Review: Classification of Lung Diseases from Chest X-Ray Images Using Deep Learning Algorithms
SN Computer Science - - 2024
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, Mathieu Hatt, Mohamad Oueidat, Pierre Chauvet
The purpose of this survey is to provide a comprehensive review of the most recent publications on lung disease classification from chest X-ray images using deep learning algorithms. Methods: This research aims to present several common chest radiography datasets and to introduce briefly the general image preprocessing procedures that are applied to chest X-ray images. Then, the classification of ...... hiện toàn bộ
An Efficient Human Computer Interaction through Hand Gesture Using Deep Convolutional Neural Network
SN Computer Science - Tập 1 - Trang 1-9 - 2020
Md. Milon Islam, Md. Repon Islam, Md. Saiful Islam
This paper focuses on the achievement of effective human–computer interaction using only webcam by continuous locating or tracking and recognizing the hand region. We detected the region of interest (ROI) in the captured image range and classify hand gestures for specific tasks. Firstly, background subtraction is used based on the main frame captured by webcam, and some preprocessing are done, and...... hiện toàn bộ
Application of Optimal Control of Infectious Diseases in a Model-Free Scenario
SN Computer Science - Tập 2 - Trang 1-9 - 2021
Erivelton G. Nepomuceno, Márcia L. C. Peixoto, Márcio J. Lacerda, Andriana S. L. O. Campanharo, Ricardo H. C. Takahashi, Luis A. Aguirre
Optimal control for infectious diseases has received increasing attention over the past few decades. In general, a combination of cost state variables and control effort have been applied as cost indices. Many important results have been reported. Nevertheless, it seems that the interpretation of the optimal control law for an epidemic system has received less attention. In this paper, we have app...... hiện toàn bộ
Segmentation and Feature Extraction in Lung CT Images with Deep Learning Model Architecture
SN Computer Science - Tập 4 - Trang 1-14 - 2023
R. Indumathi, R. Vasuki
Recently, lung cancer is observed as the most deadly disease throughout the world with a high mortality rate. The survival rate with lung cancer is minimal due to the difficulty in detection of cancer in early stages. Various screening techniques are available such as X-ray, CT, and Sputum Cytology; here, CT images are considered for identification of the lung tumor. Computed tomography has been w...... hiện toàn bộ
Tối ưu hóa mạng học sâu cho các thiết bị biên với trường hợp sử dụng tập dữ liệu bệnh da liễu và bệnh lá ngô Dịch bởi AI
SN Computer Science - Tập 4 - Trang 1-13 - 2023
B. S. Sharmila, H. S. Santhosh, S. Parameshwara, M. S. Swamy, Wahid Hussain Baig, S. V. Nanditha
Điện toán biên cung cấp các giải pháp hứa hẹn cho những thách thức liên quan đến độ trễ, kết nối, khả năng mở rộng, chi phí và quyền riêng tư. Tuy nhiên, các yêu cầu về tài nguyên của mạng học sâu tiếp tục gây khó khăn cho các thiết bị biên. Các ứng dụng trong nông nghiệp và y tế dựa trên trí tuệ nhân tạo (AI) đòi hỏi một mô hình có kích thước mạng lớn liên quan đến nhiều phép toán số thực. Nghiên...... hiện toàn bộ
#điện toán biên #tối ưu hóa mạng nơ-ron #học sâu #trí tuệ nhân tạo #bệnh lá ngô #bệnh da liễu #Mạng nơ-ron tích chập #ResNet #MobileNet
JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation
SN Computer Science - Tập 5 - Trang 1-16 - 2024
Shishir Muralidhara, Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
Part-aware panoptic segmentation is a problem of computer vision that aims to provide a semantic understanding of the scene at multiple levels of granularity. More precisely, semantic areas, object instances, and semantic parts are predicted simultaneously. In this paper, we present our joint panoptic part fusion (JPPF) that combines the three individual segmentations effectively to obtain a panop...... hiện toàn bộ
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