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Titlebook: Communications, Networking, and Information Systems; First International Haonan Chen,Pingyi Fan,Lipo Wang Conference proceedings 2023 The

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樓主: endocarditis
31#
發(fā)表于 2025-3-26 22:24:41 | 只看該作者
Stock Trend Prediction Based on Improved SVR and increase investment income. The combination of machine learning and big data provides an effective way for stock trend prediction. At present, many machine learning algorithms have been used for stock trend prediction and have achieved good results. In view of the fact that the support vector r
32#
發(fā)表于 2025-3-27 03:14:53 | 只看該作者
Several Misconceptions and?Misuses of?Deep Neural Networks and?Deep Learningep learning. Then, based on a mini-review of the literature, we point out some common misconceptions of deep neural networks and deep learning. We also point out that the deep learning approach is being misused in the present days.
33#
發(fā)表于 2025-3-27 07:41:13 | 只看該作者
Communications in Computer and Information Sciencehttp://image.papertrans.cn/c/image/230544.jpg
34#
發(fā)表于 2025-3-27 10:17:25 | 只看該作者
https://doi.org/10.1007/978-981-99-3581-9artificial intelligence; neural networks; network security; healthcare; robotics; machine learning; deep l
35#
發(fā)表于 2025-3-27 13:45:53 | 只看該作者
36#
發(fā)表于 2025-3-27 21:03:46 | 只看該作者
37#
發(fā)表于 2025-3-28 01:15:31 | 只看該作者
https://doi.org/10.1007/978-94-007-4295-6s a specific challenge to ensure the health and safety of seniors living alone in a residential community or in large-scale nursing houses. Thanks to the proliferation of the Internet of Things (IoT), Artificial Intelligence (AI)/Machine Learning (ML) algorithms, and the fifth-generation and beyond
38#
發(fā)表于 2025-3-28 04:43:00 | 只看該作者
39#
發(fā)表于 2025-3-28 07:14:40 | 只看該作者
40#
發(fā)表于 2025-3-28 10:42:51 | 只看該作者
Solar Radiation and Photovoltaic Conversion,pment. As the core equipment of the system, the edge gateway is the carrier of local processing of operation and maintenance business and cloud side collaboration. Its intrinsic safety is directly related to the reliability of the operation and maintenance system. This paper designs a complete infor
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