£105.00

Springer Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2020 (Algorithms for Intelligent Systems)

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Description

Product Description This book presents the outcome of two-day 2nd International e-Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2020) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from December 18–19, 2020. 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. From the Back Cover This book presents the outcome of two-day 2nd International e-Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2020) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from December 18–19, 2020. 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. About the Author Dr. Hari Mohan Dubey is Associate Professor in the Department of Electrical Engineering, MITS, Gwalior (India). He received his M.E. degree in Electrical Engineering from MITS, Gwalior, in 2002, and Ph.D. degree in power systems from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India, in 2017. His areas of research include the study of computational intelligence algorithms and their applications to electrical engineering, particularly, renewable integration, distributed generation, power system planning, operation, and control. He has more than 18 years of teaching and research experience. He has published more than 70 research papers published in various reputed international journals/conferences. He is a member of professional bodies like IEEE (USA), IE (India), IETE (India), and ISTE (India).  He is also actively associated with various prestigious international journals as a reviewer.   Dr. Manjaree Pandit is currently Dean (Academics) & Professor in the Department of Electrical Engineering, MITS, Gwalior, India. She has completed her graduation and postgraduation from Maulana Azad National Institute of Technology, Bhopal, India, and doctorate from Jiwaji University, Gwalior, India. She has a teaching and research experience of more than 34 years. Her research areas are AI, machine intelligence, evolutionary computation, and electrical power system operation and optimization with renewable energy resources. She is an author and a recognized reviewer for many international publications. She has received national awards twice from ISTE, India, and a research award from UGC, India. Dr. Pandit has received the ‘Top Peer Reviewer’ award from Publons, Clarivate Analytics for being in the top 1% of reviewers in Engineering for the year 2017–2018 & 2018–2019, and also in cross-field for the year 2018–2019. She has completed 09 centrally funded research projects. She is a senior member of IEEE, USA, and Fellow of Institution of Electronics & Telecommunication Engineers, and Instituti

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 July 2021
Listed Since
12 February 2021

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No barcode data available

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