This book presents best-selected research papers presented at the Sixth International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2025), organized by Arya College of Engineering and IT, Jaipur, on June 2728, 2025. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.

Presents research works in the field of communication and intelligent systems Provides best-selected papers presented at ICRTCIS 2025 held in Jaipur, India Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Dr. Aditya Kr. Singh Pundir has completed his PhD in VLSI, Embedded and Reconfigurable Hardware with the title "Fault-Tolerant Reconfigurable Hardware Design using BIST Technique on SRAM". He did his M.Tech. in VLSI Design from Rajasthan Technical University, Kota and B.E. in Electronics & Communication Engineering from Rajasthan University, Jaipur. He is associated with Arya College of Engineering & I.T. as a Professor and has more than fifteen years of experience in the industry as well as academics. He has authored several book chapters and three books and also authored more than 30 research papers in peer-reviewed refereed journals.

Dr. Anupam Yadav is an Associate Professor in the Department of Mathematics, Dr. BR Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence, he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done a Ph.D. in soft computing from the Indian Institute of Technology Roorkee, and he had worked as a research professor at Korea University. He has published more than twenty-five research articles in journals of international repute, has published more than fifteen research articles in conference proceedings. Dr. Yadav has authored a textbook entitled An introduction to neural network methods for differential equations. He has edited three books which are published by AISC, Springer Series.

Dr. Rosa M. Rodríguez received the B.Sc, M.Sc., and Ph.D. degrees in computer science from the University of Jaén, Jaén, Spain, in 2006, 2008 and 2013, respectively. She is Associate Professor in the University of Jaén. She has authored or coauthored more than 70 papers in journals indexed by the SCI. She has more than 50 contributions in international conferences. She is co-author of 6 book chapters and co-author of the book "The 2-tuple Linguistic Model. Computing with Words in Decision Making" published in Springer in 2015. She has been classified as a highly cited researcher (ESI) in 2019-2022. Her research interests include linguistic preference modeling, decision making, decision support systems, and fuzzy logic-based systems.

Dr. Swagatam Das earned his B.E. in Electronics and Telecommunications Engineering, M.E. with a specialization in Control Engineering, and Ph.D. (Engineering) degrees from Jadavpur University, India, in the years 2003, 2005, and 2009, respectively. He is currently a professor at the Electronics and Communication Sciences Unit (ECSU) of the Indian Statistical Institute, Kolkata, India. He is also serving as the Professor-in-Charge of the Computer and Communication Sciences Division (CCSD) of his Institute for the term 2024 - 26. He received the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE) and the 2015 Thomson Reuters Research Excellence India Citation Award for being the highest-cited researcher in Engineering and Computer Science in India between 2010 and 2014.

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An Object Detection Model For Traffic Analysis Using Yolo V8.- Anomaly Recognition Framework for FDI Attacks in Autonomous Vehicles.- Deep Learning-Based Blood Group Prediction Using Fingerprint Biometrics.- Task-Efficient Framework for Sentiment Analysis of Bangla E-commerce Reviews using Transformer.- Artificial Intelligence in Traffic Management: A Survey on Techniques, Challenges, and Future Directions.- Designing An Automata-Recommended And Adaptive Framework For Optimised Predictive Model To Predict Toxicityin Drug.- Design and Validation of a Low-Cost System for Monitoring Hand Rehabilitation Progress.- From Standard to Complex: Performance Analysis of Diode-Based PV Models Using MATLAB/Simulink.- Integrating Quality Management and Artificial Intelligence in Automated Decision Support.- Binary AEFA for solving combinatorial optimization problems.- Interpretable Topic Modelling of Mental Health Conversations in Australian Online Forums Using Network-Based Insights.