Titlebook: Advances in Data and Information Sciences; Proceedings of ICDIS Shailesh Tiwari,Munesh C. Trivedi,Brajesh Kumar Si Conference proceedings 2

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2367-3370 ference guide for researchers and practitioners in academia .This book gathers a collection of high-quality peer-reviewed research papers presented at the 5th International Conference on Data and Information Sciences (ICDIS 2023), held at Raja Balwant Singh Engineering Technical Campus, Agra, India,

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Conference proceedings 2024tional sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology..

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https://doi.org/10.1007/978-1-4020-5474-7 several vulnerabilities are demonstrated, which namely comprise privileged insider attacks, stolen smart card attacks, and ephemeral secret leaking attacks. In addition, this paper proposes an improved protocol to increase communication security in WSNs.

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Enumerative Induction and Lawlikenessct yoga poses. Using a dataset of 5000 images, our suggested method had an accuracy of 97.3%. The results show that deep learning techniques can be used to accurately identify yoga poses from images, which can be used to develop an intelligent yoga training system.

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Causation, Coherence and Conceptsfy user requirements. The development cycle one has been intensely studied with usability testing and a tabular representation of the results. Furthermore, the analysis of these results has been captured graphically and conclusively a complete Web application is developed compliant to the essential benchmarks of today’s time.

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2367-3370 gence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology..978-981-99-6905-0978-981-99-6906-7Series ISSN 2367-3370 Series E-ISSN 2367-3389