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Titlebook: Advances in Computing and Data Sciences; 8th International Co Mayank Singh,Vipin Tyagi,Ravi Tomar Conference proceedings 2025 The Editor(s)

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31#
發(fā)表于 2025-3-26 21:23:54 | 只看該作者
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發(fā)表于 2025-3-27 01:40:08 | 只看該作者
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發(fā)表于 2025-3-27 06:51:39 | 只看該作者
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發(fā)表于 2025-3-27 09:29:45 | 只看該作者
Zero-Shot Learning in Cybersecurity: A Paradigm Shift in Attack and Defense Strategieswe discuss ethical considerations and advocate for responsible AI practices and robust regulations to prevent misuse. This paper underscores the potential of zero-shot learning to revolutionize cybersecurity practices and preparations for future threats.
35#
發(fā)表于 2025-3-27 13:57:35 | 只看該作者
Data Engineering for Nonverbal Expression Analysis - Case Studies of Borderline Personality Disorderand heart rate. Therefore, evidence of the effectiveness of using nonverbal expressions of patients with BPD by data engineering to offer featurization and new predictive values to support informed decisions of the clinicians is presented.
36#
發(fā)表于 2025-3-27 21:39:33 | 只看該作者
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發(fā)表于 2025-3-27 22:43:37 | 只看該作者
Ausbildung und Bemessung der Bauelemente,eoples who are not technically competent to configure the development environment. Delay in setting up development environment may result, loss in productivity and revenue. To overcome these problems, we proposed a Docker based computing environment which provides a quick development environment to
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發(fā)表于 2025-3-28 04:59:46 | 只看該作者
39#
發(fā)表于 2025-3-28 06:18:49 | 只看該作者
,Scheiben und wandartige Tr?ger,onal vectors, matrix operations,?and two-dimensional equations. Through a series of experiments, Julia’s performance on different computers with different numbers of?CPU cores is measured and compared. We evaluated Julia’s performance using numerical symbols for one-dimensional vector and matrix equ
40#
發(fā)表于 2025-3-28 10:39:09 | 只看該作者
,Scheiben und wandartige Tr?ger,hreat to computer security. Various mitigation and detection techniques have been developed over decades to address this problem. In order to deal with complex datasets that result in a high computational overhead and resource consumption, a new model that uses microservices to implement the random
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