Intelligent Strategies for ICT
Description
This book contains best selected research papers presented at ICTCS 2024: Ninth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Jaipur, India during 19 - 21 December 2024. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in ten volumes.
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Persons
Dr. M Shamim Kaiser is currently working as a Professor at the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. He received his bachelor's and master's degrees in applied physics Electronics and Communication Engineering from the University of Dhaka, Bangladesh in 2002 and 2004 respectively, and the Ph. D. degree in Telecommunication Engineering from the Asian Institute of Technology (AIT) Pathumthani, Thailand, in 2010. His current research interests include Data Analytics, Machine Learning, Wireless Network & Signal processing, Cognitive Radio Network, Big data and Cyber Security, Renewable Energy. He has authored more than 100 papers in different peer-reviewed journals and conferences. He is an Associate Editor of the IEEE Access Journal, Guest Editor of Brain Informatics Journal, and Cognitive Computation Journal. Dr. Kaiser is a Life Member of Bangladesh Electronic Society, Bangladesh Physical Society. He is also a senior member of IEEE, USA and IEICE, Japan, and an active volunteer of the IEEE Bangladesh Section. He is the founding Chapter Chair of the IEEE Bangladesh Section Computer Society Chapter.
Dr. JUANYING XIE Currently a Professor with Shaanxi Normal University, Xi'an, China. I have been a full professor at the School of Computer Science of Shaanxi Normal University in PR China. My research interests include machine learning, data mining, and biomedical data analysis. I have published around 50 research papers and published 2 monograph books. I have been an associate editor of Health Information Science and Systems. I have been a program committee member of several international conferences, such as the international conference on Health Information Science, etc. I have been a senior member of China Computer Federation (CCF), and a member of Chinese Association for Artificial Intelligence (CAAI), and a member of Artificial Intelligence and Pattern Recognition Committee of CCF, and a member of Machine Learning Committee of CAAI, etc. I have been a peer reviewer for many journals, such as "Information Sciences", and "IEEE trans. on cybernetics", etc. I was awarded my Ph.D. in signal and information processing from Xidian University. I cooperated with Prof. Xiaohui Liu at Brunel University in UK from 2010 to 2011 in machine learning and gene selection research. I received an engineering master's degree in the application technology of computers at Xidian University and a bachelor degree of science in computer science at Shanxi Normal University.
Dr. Vijay Singh Rathore is presently working as a Professor in the Department of CS & IT, JECRC University, Jaipur, He was previously with IIS (Deemed to be) University, Jaipur (India). He received Ph.D. from the University of Rajasthan and has teaching experience of 20 years. He is Secretary, ACM Jaipur Chapter, Past Chairman, CSI Jaipur Chapter, got two patents published, Ph.D. Supervised (Awarded: 16, Under Supervision: 07), 80+ research papers, and 10+ books got published. He is handling international affairs of The IIS University, Jaipur. His research areas are internet security, cloud computing, big data, and IoT.
Content
Enhanced Security in Transaction using Quantum Key Distribution.- AI-Powered System for Water Leakage Monitoring: A Sustainable Solution for Urban Infrastructure.- CNN Architecture for Accurate and Robust Brain Tumor Classification.- Using Deep Neural Networks for Enhanced Visibility in Low-Light Image Enhancement.- Enhanced YOLOv8 for Road Object Detection with Advanced AI-based Real-Time Precision Algorithm.- Hybrid Task Scheduling for Multi-Core Systems using Global EDF and Partitioned LLF Algorithms.- On the Analysis of Swarm Robotics in Sensor-Based Environmental Monitoring for Sustainable Poultry Farming.- A Comparative Study of Deep Learning Approaches for Intrusion Detection Systems Across Various Attack Types.- Etc.