Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2025, Volume 1: 1937

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Bol 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. 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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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. 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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