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{ "item_title" : "Artificial Intelligence and Sustainable Computing", "item_author" : [" Manjaree Pandit", "M. K. Gaur", "Sandeep Kumar "], "item_description" : "This book presents high-quality research papers presented at the 7th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2025) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during November 1-2, 2025. 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 friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/223/576/3032235766_b.jpg", "price_data" : { "retail_price" : "279.99", "online_price" : "279.99", "our_price" : "279.99", "club_price" : "279.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Artificial Intelligence and Sustainable Computing|Manjaree Pandit

Artificial Intelligence and Sustainable Computing : Proceedings of Icsiscet 2025, Volume 1

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Overview

This book presents high-quality research papers presented at the 7th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2025) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during November 1-2, 2025. 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 friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

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Details

  • ISBN-13: 9783032235763
  • ISBN-10: 3032235766
  • Publisher: Springer
  • Publish Date: April 2026
  • Dimensions: 9.21 x 6.14 x 0.93 inches
  • Shipping Weight: 1.41 pounds
  • Page Count: 436

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