Communications in Computer and Information Science

Công bố khoa học tiêu biểu

* Dữ liệu chỉ mang tính chất tham khảo

Sắp xếp:  
Auto Machine Learning-Based Approach for Source Printer Identification
Communications in Computer and Information Science - - Trang 668-680 - 2022
Vo, Phu-Qui, Dang, Nhan Tam, Nguyen, Q. Phu, Mai, An, Nguyen, Loan T. T., Nguyen, Quoc-Thông, Nguyen, Ngoc-Thanh
This study investigates the applicability of the Auto Machine Learning-based approach (AutoML) for analyzing microscopic printed document images to attribute that document to its source printer. In this perspective, AutoML, a new rising star of machine learning in...
Security in Computing and Communications
Communications in Computer and Information Science - - 2016
Peter R. Müeller, Sabu M. Thampi, Md Zakirul Alam Bhuiyan, Ryan K. L. Ko, Robin Doss, José M. Alcaraz Calero
SDCANet: Enhancing Symptoms-Driven Disease Prediction with CNN-Attention Networks
Communications in Computer and Information Science - - Trang 15-30 - 2024
Phan, Thao Minh Nguyen, Dao, Cong-Tinh, Phan, Tai Tan, Nguyen, Hai Thanh
Deep learning algorithms have revolutionized healthcare by improving patient outcomes, enhancing diagnostic accuracy, and advancing medical knowledge. In this paper, we propose an approach for symptom-based disease prediction based on understanding the intricate...
Monitoring Attendance and Checking School Uniforms Using YOLOv8
Communications in Computer and Information Science - - Trang 200-207 - 2024
Lam, Khang Nhut, La, Trong Thanh, Nguyen, Khang Duy, Le, Man Minh, Truong, Vy Trieu, Ware, Andrew
The performance of students is affected by various factors, including attendance tracking and school uniform checking. This study develops a system for automatically tracking student attendance and checking school uniforms using the pre-trained YOLOv8-based models....
Motion Vector Refinement Algorithm for the High Definition Video Coding
Communications in Computer and Information Science - - Trang 357-363 - 2011
Ha, Le Thanh, Jung, Seung-Won, Bui, The Duy, Duong, Dinh Trieu, Ko, Sung-Jea
In H.264/AVC, simplified rate distortion optimisation (RDO) is performed to estimate the motion vector (MV). As a result, the estimated MV is often suboptimal since the residual bitrate is not considered, which results in the deterioration of the coding efficiency....
Improving Document Image Understanding with Reinforcement Finetuning
Communications in Computer and Information Science - - Trang 51-63 - 2023
Nguyen, Bao-Sinh, Le, Dung Tien, Vu, Hieu M., Nguyen, Tuan-Anh D., Nguyen, Minh-Tien, Le, Hung
Successful Artificial Intelligence systems often require numerous labeled data to extract information from document images. In this paper, we investigate the problem of improving the performance of Artificial Intelligence systems in understanding document images,...
Parental Support for Neurodevelopmental Disorders in Vietnam: A Social Media AnalysisSCOPUS__Q4
Communications in Computer and Information Science - - Trang 455-466 - 2025
Thi Kim Anh Vo
#Social media #Content analysis #Pattern analysis #Social support #Statistical analysis
Automatic Attendance System Based on Face Recognition Using HOG Features and Cosine Distance
Communications in Computer and Information Science - - Trang 130-148 - 2020
Nguyen, Thanh-Hai, Dao, Cong-Tinh, Phan, Nguyen-Minh-Thao, Nguyen, Thi-Ngoc-Cham, Phan, Tan-Tai, Pham, Huynh-Ngoc
Advancements in machine learning have been applying deeply and widely in numerous fields. Especially, computer vision tasks for object detection in recent years have achieved great performances which are even better than human recognition ability. This work leverages...
Robust Deep Reinforcement Learning for Extractive Legal Summarization
Communications in Computer and Information Science - - Trang 597-604 - 2021
Nguyen, Duy-Hung, Nguyen, Bao-Sinh, Nghiem, Nguyen Viet Dung, Le, Dung Tien, Khatun, Mim Amina, Nguyen, Minh-Tien, Le, Hung
Automatic summarization of legal texts is an important and still a challenging task since legal documents are often long and complicated with unusual structures and styles. Recent advances of deep models trained end-to-end with differentiable losses can...
Tổng số: 9   
  • 1