Communication and Intelligent Systems
Description
This book gathers selected research papers presented at the Sixth International Conference on Communication and Intelligent Systems (ICCIS 2024), organized by Maulana Azad National Institute of Technology (MANIT), Bhopal, India, during November 8-9, 2024. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in four volumes.
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Harish Sharma is an associate professor at Rajasthan Technical University, Kota in Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University Kota, and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degree in Computer Engg. from Govt. Engineering College, Kota and Rajasthan Technical University, Kota in 2003 and 2009 respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is secretary and one of the founder members of Soft Computing Research Society of India. He is a life time member of Cryptology Research Society of India, ISI, Kolkata. He is an associate editor of "International Journal of Swarm Intelligence (IJSI)" published by Inderscience.
Vivek Shrivastava has approx. 20 years of diversified experience of scholarship of teaching and learning, accreditation, research, industrial, and academic leadership in India, China, and USA. Presently he is holding the position of professor at National Institute of Technology Uttarakhand. Previously he has worked as dean in Research & Consultancy at National Institute of Technology Delhi. Prior to his academic assignments he has worked as system reliability engineer at SanDisk Semiconductors Shanghai China and USA. He has significant industrial experience of collaborating with industry and Government organizations at SanDisk Semiconductors he has made significant contribution to the design development of memory products. He has contributed to the development and delivery of Five-Year Integrated B.Tech. and M.Tech. Programme and Master programme at Gautam Buddha University Greater Noida.
Ashish Kumar Tripathi received his M.Tech. and Ph.D. degrees in computer science and engineering from the Department of Computer Science and Engineering, Delhi Technological University, Delhi, India, in 2013 and 2019 respectively. He is currently working as an assistant professor with the Department of Computer Science & Engineering, Malviya National Institute of Technology (MNIT), Jaipur, India. His research interests include big data analytics, social media analytics, soft computing, image analysis, and natural language processing. Dr. Tripathi has published several papers in international journals and conferences including IEEE transactions. He is an active reviewer for several journals of repute.
Lipo Wang received the Bachelor degree from National University of Defense Technology (China) and Ph.D. from Louisiana State University (USA). He is presently on the faculty of the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, and data mining. He has 330+ publications, a U.S. patent in neural networks and a patent in systems. He has co-authored 2 monographs and (co-)edited 15 books. He has 8,000+ Google Scholar citations, with H-index 43. He was keynote speaker for 36 international conferences. He is/was an associate editor/editorial board member of 30 international journals, including 4 IEEE Transactions, and guest editor for 10 journal special issues.
Content
Type 2 diabetes mellitus early detection with machine learning-based prediction modalities.- Prediction Optimization for Type 2 Diabetes Mellitus Using Artificial Neural Networks.- Adaptive Image Denoising using Expectation Maximization Algorithm.- Batting Position-Specific Weight Determination: Impact on Bowling Performance Measurement.- TopicMapper: Geotagged URL Topic Extraction and Categorization.- Unlocking Bowling Performance Insights through Sports Analytics.- Exploiting Side Information with Variational Autoencoders for Movies Recommender Systems.- A Hybrid Weighted Loss Function for Enhanced Protein Interaction Site Prediction.- Comprehensive Approach to Detect and Prevent Reconnaissance Attack.- SqueezeNet & AlexNet Ensemble Model based Stroke Classification.- etc.