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Titlebook: Artificial Intelligence and Sustainable Computing; Proceedings of ICSIS Manjaree Pandit,M. K. Gaur,Sandeep Kumar Conference proceedings 202

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期刊全称Artificial Intelligence and Sustainable Computing
期刊简称Proceedings of ICSIS
影响因子2023Manjaree Pandit,M. K. Gaur,Sandeep Kumar
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发行地址Presents research works in the field of artificial intelligence and sustainable computing.Provides original works presented at ICSISCET 2023 held in Gwalior, India.Serves as a reference for researcher
学科分类Algorithms for Intelligent Systems
图书封面Titlebook: Artificial Intelligence and Sustainable Computing; Proceedings of ICSIS Manjaree Pandit,M. K. Gaur,Sandeep Kumar Conference proceedings 202
影响因子.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..
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Arthur P. Hurter Jr.,Joseph S. Martinichay, producing major difficulties such as road accidents and traffic bottlenecks. These issues can be optimized by taking suitable lane changing decision on time and safely lane change take place. This article analyzed the causes of lane change and during the lane change taken adaptive data transmiss
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https://doi.org/10.1007/978-3-662-07171-7 neural networks and image recognition, computer vision and deep learning techniques have revolutionized wildlife monitoring. YOLO (You Only Look Once) is recognized as one of the most popular and highly accurate computer vision algorithms, designed specifically for object detection. This paper resp
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https://doi.org/10.1007/978-3-662-56230-7as to contribute to the preservation of the natural environment by investigating the species of fish present in different bodies of water. The research used three deep learning algorithms: Haar Cascade, Single-Shot Multibox Detector, and inception method for automatic fish detection. The study targe
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https://doi.org/10.1007/978-3-662-56230-7lite can affect the constellation’s ability to perform the intended operation, requiring identification, trajectory tracking, and pose estimation of the damaged satellite. Standard models of orbital motion have been found to be deficient in analysing the unpredictable orbital motion of these uncoope
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