Recent Trends in Communication and Intelligent Systems

Proceedings of ICRTCIS 2024
2024
ISBN: 978-981-97-7631-3
Verlag: Springer Nature Singapore

Buch, Englisch, 204 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 538 g

Reihe: Algorithms for Intelligent Systems

This book presents best-selected research papers presented at the Fifth International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2024), organized by Arya College of Engineering and IT, Jaipur, on May 3–4, 2024. 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.

Zielgruppe

Research

Autoren/Hrsg.

Pundir, Aditya Kumar Singh

Das, Swagatam

Yadav, Anupam

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

Gesture Assisted Real Time Implementation of Rock  Paper Scissors Employing SqueezeNet.- Towards Identifying High-performing Feature Descriptors for Depth based Hand Signs Recognition.- Classification Of Chess Pieces using Distributed Deep Learning.- Gomoku Parallelization with Ray: Elevating Traditional Gaming Experience.- 
Object Detection Model Performance Analysis for Garbage Detection on Resource-Limited Platforms.- Fuzzy Based Fraud Prediction System In Digital Transaction.- Automated Classification of Musical Genres: A Machine Learning Approach with Random Forest and Feature Engineering.- Hybrid Approach for Heart and Liver Disease Prediction.- Utilizing twitter data and NLP to analyze and predict public sentiment trends in mental health.- Optimal Test Cases Generation using Evolutionary Soft Computing Techniques.- Enhancing Security in Blockchain Based System with Sharding via Advanced Encryption Standard (AES) Algorithm.- Designing A Blockchain Based Secure Scheme for Oil and Gas Supply Chain System using Hyperledger Fabric and InterPlanetary File System (IPFS).- Exploring Anomaly Detection Techniques for Crime  Detection.

Über Autor(innen)

Dr. Aditya Kumar Singh Pundir (B.E., M. Tech., and Ph. D.) works as a professor, Mentor Incubation & IPR Activities in the Electronics and Communication Engineering Department at Arya College of Engineering & IT, Jaipur. His current research interests include VLSI design, embedded systems, AI in edge computing, memory testing and repair, built-in self-test using embedded system design, machine learning, algorithms for CAD, and signal processing. He received the grant of different Intellectual properties i.e., two Australian patents, three design registration, and three copyrights. He has also published more than 25 research papers and several book chapters in peer-reviewed refereed journals and conferences having indexing in SCOPUS, WOS, SCI/ SCIE. He has also edited five book volumes for Springer, IOP Science, and other reputed publishers. He has been associated with different reputed conferences as the organizing chair, convener, and steering committee member of several international conferences.

Dr. Anupam Yadav is an associate professor in the Department of Mathematics, Dr. BR Ambedkar National Institute of Technology Jalandhar, India. His research areas include numerical optimization, soft computing, and artificial intelligence and 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 and has published more than fifteen research articles in conference proceedings. He has edited three books which are published by AISC, Springer Series. Dr. Yadav was the general chair, convener, and member of the steering committee of several international conferences. He is a member of various research societies.

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. Currently, he is a professor at the Indian Statistical Institute (ISI), Kolkata, India; he previously served as the head of the Electronics and Communication Sciences Unit at ISI Kolkata from 2021 to 2023. Presently, he also holds the position of Professor and Deputy Director at the Institute for Advancing Intelligence (IAI), TCG CREST, Kolkata, India. His research interests encompass deep learning and non-convex optimization, and he published over 400 research articles in peer-reviewed journals and international conferences. Dr. Das is the founding co-editor-in-chief of Swarm and Evolutionary Computation, an international journal by Elsevier.