A Theoretical Approach of Information Measure for Pythagorean Fuzzy Sets.- Efficient Resource Distribution in Cognitive Radio Network by Fuzzy Based cluster against Attacks.- Promote an abstract understanding of the problem- solving knowledge in the theory of computation through Visualization based intelligent tutor system.- COVID-19 OUTBREAK PREDICTION USING Machine Learning.- SLAM using Neural Network-based Depth Estimation for Auto Vehicle Parking.- Cross-View Gait Recognition using Deep Learning Approach.- An Overview of Electrical Load Classification and Prediction Methods.- A Survey of energy efficient electrohydraulic control system for collaborative humanoid robots.- Gesture Recognition based Interaction with Smartwatch and electric wheelchair for assistive mobility and navigation.- OSTBC-MIMO Based Radio Propagation System Over Irregular Terrain in the Northern Cape Province of South Africa.
Dr. Tomonobu Senjyu received his B.S. and M.S. degrees in Electrical Engineering from the University of the Ryukyus in 1986 and 1988, respectively, and his Ph.D. degree in Electrical Engineering from Nagoya University in 1994. Since 1988, he has been with the Department of Electrical and Electronics Engineering, University of the Ryukyus, where he is currently Professor. His research interests include stability of AC machines, power system optimization and operation, advanced control of electrical machines and power electronics. He is Member of the Institute of Electrical Engineers of Japan and IEEE.
Dr. Parikshit N. Mahalle holds a B.E. degree in CSE and an M.E. degree in Computer Engineering. He completed his Ph.D. at Aalborg University, Denmark. Currently, he is working as Professor and Head of the Department of Computer Engineering at STES Smt. Kashibai Navale College of Engineering, Pune, India. He has over 18 years of teaching and research experience. Dr. Mahalle has published over 140 research articles and eight books and has edited three books. He received the “Best Faculty Award” from STES and Cognizant Technologies Solutions.
Dr. Thinagaran Perumal received his B.Eng., M.Sc. and Ph.D. Smart Technologies and Robotics from Universiti Putra Malaysia in 2003, 2006 and 2011, respectively. Currently, he is Associate Professor at Universiti Putra Malaysia. He is also Chairman of the TC16 IoT and Application WG National Standard Committee and Chair of IEEE Consumer Electronics Society Malaysia Chapter. Dr. Thinagaran Perumal is Recipient of 2014 IEEE Early Career Award from IEEE Consumer Electronics Society. His recent research activities include proactive architecture for IoT systems, development of the cognitive IoT frameworks for smart homes and wearable devices for rehabilitation purposes.
Dr. Amit Joshi is currently Director of the Global Knowledge Research Foundation. He is also Entrepreneur and Researcher, and he holds B.Tech., M.Tech. and Ph.D. degrees. His current research focuses on cloud computing and cryptography. He is Active Member of ACM, IEEE, CSI, AMIE, IACSIT, Singapore, IDES, ACEEE, NPA and several other professional societies. He is also International Chair of InterYIT at the International Federation of Information Processing (IFIP, Austria ). He has published more than 50 research papers, edited 40 books and organized over 40 national and international conferences and workshops through ACM, Springer and IEEE across various countries including India, Thailand, Egypt and Europe.
This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fifth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2021), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.