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Titlebook: Advancements in Smart Computing and Information Security; First International Sridaran Rajagopal,Parvez Faruki,Kalpesh Popat Conference pr

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楼主: 根深蒂固
发表于 2025-3-25 05:04:43 | 显示全部楼层
Pengting Du,Yingjian Liu,Yue Li,Haoyu Yinok to keep their platform user-friendly. The challenge in performing natural language processing to a live feed is the energy required to train a model which can perform the task. we have attempted to address the problem of performing sentiment analysis by taking an example, of live comments in Law
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Zheng Chen,Zejun Lu,Jiageng Chen machine learning (ML). In real-world applications, computational, large dimensionality and noisy or ambiguous nature, storage complexity, high performance, and other difficulties beset FS work. As a pre-processing phase, dimension reduction is used to improve the accuracy of learning features and r
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https://doi.org/10.1007/978-3-031-60037-1lower levels lack these resources which creates a resource parity between players playing at various levels. This paper aims to develop a system capable of detecting the various umpire signals from images and then automating the scorecard accordingly. The system uses a camera to capture the image of
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Wanting Zhou,Shiwei Yuan,Lei Li,Kuo-Hui Yehystems, as an alternative to traditional embankments, have gained appeal, notably for high-speed lines in India. This system‘s reduced base area compared to traditional embankments means that less ground stabilisation, improvement, and land taking is necessary. The research‘s findings provide intrig
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Shuihai Zhang,Haoyi Sun,Bei Pei,Chunli Lv also become a threat to the data that is kept there. Internet security is seen by many enterprises as a major challenge. Organizations use a variety of methods, including firewalls, virtual private networks (VPNs), authentication, and encryption, to protect credential data. The primary goals are to
发表于 2025-3-26 17:37:00 | 显示全部楼层
Wanting Zhou,Shiwei Yuan,Lei Li,Kuo-Hui Yehpatients. In this manner, analysis of plays a major part in detection and classification of disease and accurately diagnose the medical condition in patients. Most of the data mining task is held up with poor classification accuracy due to the presence of redundant or irrelevant data items. In this
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