Pandit / Gaur / Kumar Artificial Intelligence and Sustainable Computing

Proceedings of ICSISCET 2023
1. Auflage 2024
ISBN: 978-981-97-0327-2
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 721 Seiten, eBook

Reihe: Algorithms for Intelligent Systems

This book presents high-quality research papers presented at the 5th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2023) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during October 21–22, 2023. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Zielgruppe

Research

Autoren/Hrsg.

Pandit, Manjaree

Gaur, M. K.

Kumar, Sandeep

Über Autor(innen)

Manoj Kumar Gaur is working as a professor and head in Mechanical Engineering Department, associate proctor, and incharge of the Institute Industry Interaction Cell at Madhav Institute of Technology and Science, Gwalior, India. He has made substantial contributions to the fields of solar thermal energy, solar distillation, and heat and mass transfer applications. He possesses eighteen years of teaching experience in postgraduate and undergraduate classes. He obtained Ph.D from the Indian Institute of Technology Delhi, New Delhi, and Master of Technology in Engineering Materials from Maulana Azad National Institute of Technology Bhopal in 2002. He secured fifth position in the University in his Bachelor of Engineering in Mechanical Branch from Oriental Institute of Technology and Science, Bhopal in 1999.

Manjaree Pandit obtained her M.Tech. degree in Electrical Engineering from Maulana Azad College of Technology, Bhopal, (India) in 1989 and Ph.D. degree from Jiwaji University Gwalior (India) in 2001. She is currently working as the dean academics and professor in the Department of Electrical Engineering, M.I.T.S., Gwalior, (India). She is an editor of Engineering Applications of Artificial Intelligence. She is a senior member of IEEE, a recognized reviewer of a few IEEE Transactions, Springer, and Elsevier journals and has published more than 75 papers in reputed international journals. Her areas of interest are hybrid renewable energy resources integration with the power grid, nature-inspired algorithms, ANN, and fuzzy neural network applications to electrical power systems. She has successfully completed research projects funded from AICTE, DST, and UGC and has published 68 papers in international journals of repute and guided more than 70 PG dissertations and 07 Ph.D candidates.  Dr. Sandeep Kumar is currently a professor at CHRIST (Deemed to be University), Bangalore. He recently completed his post-doctoral research at Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia, in sentiment analysis. He is an associate editor for Springer's Human-centric Computing and Information Sciences (HCIS) journal. He has published more than eighty research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited seven books in the area of computer science. Also, he has been serving as a general chair of the Congress on Intelligent Systems (CIS 2022 and 2023), the International Conference on Communication and Computational Technologies (ICCCT 2021, 22, and 23), and International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET 2022 and 2023). His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.