Overview
- Presents research works in the field of communication and artificial intelligence
- Gathers the outcomes of ICCAI 2021, held in Mathura, India
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 435)
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Keywords
Table of contents (58 papers)
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Communication System
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Control System and IOT
Editors and Affiliations
About the editors
Dr. Manish Gupta is presently associated with Department of Electronics and Communication Engineering, Institute of Engineering and Technology, GLA University, Mathura (UP) India. He received his Bachelor of Engineering (B.E.) in Electronics Engineering from Jiwaji University,Gwalior (MP) India, in 2000. He did his M. Tech. degree from Uttar Pradesh Technical University, Lucknow (UP), India, in year 2006 and Ph.D. from Rajasthan Technical University, Kota (Raj.). He has a very rich experience of more than 20+ years in teaching undergraduate and postgraduate classes. He has published 40+ research papers publications in different International Journals and in Proceedings of International Conferences of repute. He had served as the member of organizing committees for various international conferences. Moreover, he was also designated the reviewers various refereed journals. He is a life member of ISTE, Member IET. His research interest includes Communication systems, Image and Signal Processing.
Prof. Seyedali Mirjalili is the director of the Centre for Artificial Intelligence Research and Optimization at Torrens University Australia. He is internationally recognized for his advances in Swarm Intelligence and Robust Optimization. He has publishedover 200 publications with over 30,000 citations and an H-index of 50. As the most cited researcher in robust optimization, he is in the list of 1% highly- cited researchers and named as one of the most influential researchers in the world by Web of Science. He is a senior member of IEEE and an associate editor of several journals including Neurocomputing, Applied Soft Computing, Advances in Engineering Software, Applied Intelligence, and IEEE Access. His research interests include robust optimization, engineering optimization, multi-objective optimization, swarm intelligence, evolutionary algorithms, and artificial neural networks. He is working on the application of multi-objective and robust meta-heuristic optimization techniques as well.
Prof. Aditya Trivedi is Professor in the Information and Communication Technology (ICT) Department at ABV-Indian Institute of Information Technology and Management, Gwalior, India. He hasabout 20 years of teaching experience. Before joining ABV-IIITM in December 2006, he was Reader in the Department of Electronics and CSE at M.I.T.S., Gwalior. He received his bachelor degree in Electronics Engineering from the Jiwaji University. He did his M. Tech. (Communication Systems) from Indian Institute of Technology (IIT), Kanpur. He obtained his doctorate (Ph.D.) from IIT Roorkee in the area of Wireless Communication Engineering. His teaching and research interest include digital communication, CDMA systems, Signal processing, and networking. He has published around 60 papers in various national and international journals/conferences. He is a fellow of the Institution of Electronics and Telecommunication Engineers (IETE). He has completed one AICTE project. He is a reviewer of IEEE and Springer journals. In 2007, he was given the IETEs K.S. Krishnan Memorial Award for best system-oriented paper.
Bibliographic Information
Book Title: Proceedings of International Conference on Communication and Artificial Intelligence
Book Subtitle: ICCAI 2021
Editors: Vishal Goyal, Manish Gupta, Seyedali Mirjalili, Aditya Trivedi
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-981-19-0976-4
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Softcover ISBN: 978-981-19-0975-7Published: 10 May 2022
eBook ISBN: 978-981-19-0976-4Published: 09 May 2022
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XXII, 691
Number of Illustrations: 73 b/w illustrations, 269 illustrations in colour
Topics: Communications Engineering, Networks, Artificial Intelligence, Computational Intelligence