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Titlebook: Advances in Artificial Intelligence and Machine Learning in Big Data Processing; First International R. Geetha,Nhu-Ngoc Dao,Saeed Khalid C

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31#
發(fā)表于 2025-3-26 21:10:39 | 只看該作者
32#
發(fā)表于 2025-3-27 05:05:48 | 只看該作者
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34#
發(fā)表于 2025-3-27 11:48:00 | 只看該作者
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發(fā)表于 2025-3-27 17:09:45 | 只看該作者
Grundlagen der Volkswirtschaftslehre, is then analyzed and categorized using compound learning algorithms. The system’s effectiveness and superiority are assessed through a series of unique simulation experiments. This research not only addresses the shortcomings of current systems but also proposes innovative strategies for mental hea
36#
發(fā)表于 2025-3-27 17:55:57 | 只看該作者
37#
發(fā)表于 2025-3-27 23:49:06 | 只看該作者
Konzeptionen der Wirtschaftspolitik,behaviour detection framework. In this project, we are detecting the human abnormal activity using tensorflow pose estimation model by estimating the location of key joints of the person. This model can estimate not only one person but also many persons in the videos. This method has better detectio
38#
發(fā)表于 2025-3-28 06:09:00 | 只看該作者
https://doi.org/10.1007/b138941sues and developing more precise and dependable systems would require further research. The primary objective of the system is to offer an improved solution for classroom attendance, ensuring the avoidance of false attendance records and significantly reducing the time required for attendance taking
39#
發(fā)表于 2025-3-28 08:25:36 | 只看該作者
40#
發(fā)表于 2025-3-28 14:03:37 | 只看該作者
Grundlagen der Volkswirtschaftslehre,efficiently. In the given MRI image, if the brain image has no tumor, then it is defined as normal, otherwise, if a tumor is predicted, then it is further classified into the tumor types such as Glioma, Meningioma and Pituitary tumor. The model result shows better accuracy of 98% in detecting the tu
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