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

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Algorithms for Intelligent Systemshttp://image.papertrans.cn/b/image/162322.jpg

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冬眠

978-981-97-0329-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Enhancing Underwater Fauna Monitoring: A Comparative Study on YOLOv4 and YOLOv8 for Real-Time Fish 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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Machine Learning Approach for Assamese Dialect Identification,enhance technology accessibility for speakers of local dialects while also contributing to the preservation of these unique linguistic variations. To achieve this, automatic dialect identification systems were employed, which analyze voice signals to ascertain the specific dialect being spoken. An a

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curriculum

,Identification, Tracking, and?Pose Estimation of?Non-cooperative Satellites Using Deep Learning Teclite 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