Proceedings of International Conference on Computational Technologies for Research in Data Analytics
Description
This book discusses the outcomes of International Conference on Computational Technologies for Research in Data Analytics (ICCTRDA-2025) was held on November 21-22, 2025, at DuyTan University, Da Nang, Vietnam. The conference has attracted many high-quality submissions and stimulated the cutting-edge research discussions among many academic pioneering researchers, scientists, industrial engineers, students with the reception of more than 1200 papers from different parts of the world. Only 180 papers have been accepted and registered with an acceptance ratio of 15% to be published in four volumes of prestigious springer Lecture Notes on Networks and Systems (LNNS) series.
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Persons
Dr. Nhu Gia Nguyen received a Ph.D. degree in computer science from Ha Noi University of Science at Vietnam National University, Vietnam. Currently, he is Dean of the Graduate School at Duy Tan University, Vietnam. He has a total academic teaching experience of 18 years with more than 50 publications in reputed international conferences, journals, and online book chapter contributions (indexed by: SCI, SCIE, SSCI, Scopus, DBLP). His areas of research include: network communication, security and vulnerability, network performance analysis and simulation, cloud computing, image processing in biomedical. Presently he is Associate Editor of the International Journal of Synthetic Emotions (IJSE).
Prof. Ajay Jaiswal has an academic background from prestigious institutions like IIT Roorkee and JNU. With over 25 years of experience in academics, research, and administration, he currently serves as Principal of the School of Open Learning, University of Delhi. Additionally, he holds the position of OSD at the Institute of Cyber Security Law, University of Delhi. A prolific author and researcher, Prof. Jaiswal has contributed to numerous research articles and books and has been actively involved in editorial and organizing committees for journals and international conferences. His research interests include pattern recognition, image processing, and machine learning. He was honored as the "Best Teacher" by the Government of NCT Delhi for 2013-14.
Dr. Ta Minh Thanh received the Bachelor of Engineering degree and the Master degree of Computer Science from National Defence Academy, Japan, in 2005 and 2008, respectively. He was Lecturer of Le Quy Don University, Ha Noi, Viet Nam, from 2005. In 2015, he received the Ph.D. degree in computer science from Tokyo Institute of Technology, Tokyo, Japan. He received the standards of associate professor title in 2019. His research interests lie in the area of watermarking, network security, and computer.
Content
Predicting student performance based on incremental ensemble learning.- Smart Grocery Management: Expiry Date Detection Using YOLOv8 and Optical Character Recognition.- The Impact of Artificial Intelligence in Medical Imaging: Trends, Gaps, and Future Direction.- Multi-objective ESG Portfolio Optimization and Green Economic Resource Allocation Strategy Driven by Reinforcement Learning.- Factualguard: Enhancing Trust In Online Information Through Automated Fake News Detection.- A priority list based approach for solving thermal unit commitment problem with dynamic programming algorithm.- Classification of Cardiac ECG Signals Using Quadratic Discriminant Analysis for Atrial Fibrillation.- Fault Diagnosis Method for Wind Turbine Drive Train Based on Acoustic-Vibration System.- Bridging Natural Language and Autonomous Action: LLM-Driven AI Agents for Human-Machine Collaboration.- Adaptive Multi-Modal AI Agents: Leveraging Large Language Models for Dynamic Real-World Environments.- Prediction of External Corrosion Rate and Location of High-Risk Sections of Buried Pipelines Based on Spatiotemporal Graph Convolutional Network (ST-GCN).- Achieving Atomice Context Consistency in large -Scale Multi- Agent Systems via Decentralized Trust - Weighted Consensus.- Privacy-Preserving Collaborative Learning for Chronic Heart Failure: A Federated Approach With Explainable Deep Learning and Real-Time Treatment Adaptation.- Blockchain- Enhanced Digital Twin Security for Industrial IoT (IIoT).- Investigating the Impact of Augmented Reality on Physical Education Curriculum.- Academic performance prediction in a blended learning model based on GRU-LSTM with Fractional Greater Cane Rat Algorithm.