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Titlebook: e-Learning, e-Education, and Online Training; 9th EAI Internationa Guan Gui,Ying Li,Yun Lin Conference proceedings 2024 ICST Institute for

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51#
發(fā)表于 2025-3-30 08:34:08 | 只看該作者
52#
發(fā)表于 2025-3-30 12:42:40 | 只看該作者
International Business and Securitys. Next, calculate the distance between the user interest model and the center of each resource cluster, and select the resource cluster closest to the user interest model as the recommendation result. Finally, by calculating the similarity between resources, the resources in the resource cluster ar
53#
發(fā)表于 2025-3-30 20:04:16 | 只看該作者
https://doi.org/10.1007/978-981-19-0481-3and the Gaussian kernel function is selected as the kernel function of support vector machine to classify the features of English teaching resources. By calculating the weighted vector of English teaching resources, English teaching resources are cleaned, and the continuous sliding window distance o
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發(fā)表于 2025-3-30 22:56:45 | 只看該作者
55#
發(fā)表于 2025-3-31 03:30:10 | 只看該作者
56#
發(fā)表于 2025-3-31 07:56:40 | 只看該作者
57#
發(fā)表于 2025-3-31 12:22:53 | 只看該作者
58#
發(fā)表于 2025-3-31 15:37:28 | 只看該作者
Evaluation Method of English Online Education Effect Based on Machine Learning Algorithm evaluating the effectiveness of online English education based on genetic algorithm optimized BP neural network has been proposed. The research results indicate that it can effectively evaluate the effectiveness of online English teaching.
59#
發(fā)表于 2025-3-31 21:35:59 | 只看該作者
60#
發(fā)表于 2025-3-31 22:16:09 | 只看該作者
The Detection of English Students’ Classroom Learning State in Higher Vocational Colleges Based on Iat the learning status of the selected 6 classes in the English classroom is detected, combined with an improved SSD algorithm. The final unit detection mean difference was well controlled below 1.5, and the detection accuracy for the five types of classroom behaviors remained above 90%, indicating
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