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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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https://doi.org/10.1007/978-3-662-07171-7ditions of underwater environments. For this study, both YOLOv4 and YOLOv8 architectures were trained on a cloud platform. This cloud-based approach circumvents the challenges and logistical complexities of deploying manpower and complex hardware in underwater scenarios, making it a more effective s
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https://doi.org/10.1007/978-3-662-07169-4shorter distance node and vice versa. This is achieved by assigning dynamic distance adaptive duty cycle to the nodes of the cluster using sigmoid function (SF). The performance of the proposed sigmoid function-based duty cycle (SFDC) strategy has been compared with the other two existing energy opt
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