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Titlebook: Advanced Computational Intelligence and Intelligent Informatics; 8th International Wo Bin Xin,Naoyuki Kubota,Fangyan Dong Conference procee

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樓主: 哄笑
21#
發(fā)表于 2025-3-25 04:27:03 | 只看該作者
22#
發(fā)表于 2025-3-25 10:01:38 | 只看該作者
Beispiele aus der Baubetriebspraxiso labeling and training big data by using 2D techniques, a 3D point cloud-based technique has been proposed in this paper. The 3D point cloud-based defect detection of lithium batteries used feature-based techniques to downscale the point clouds to reduce the computational cost, extracting the norma
23#
發(fā)表于 2025-3-25 12:04:02 | 只看該作者
24#
發(fā)表于 2025-3-25 15:55:03 | 只看該作者
25#
發(fā)表于 2025-3-25 22:55:51 | 只看該作者
26#
發(fā)表于 2025-3-26 01:32:30 | 只看該作者
27#
發(fā)表于 2025-3-26 08:11:28 | 只看該作者
28#
發(fā)表于 2025-3-26 12:16:32 | 只看該作者
29#
發(fā)表于 2025-3-26 15:28:19 | 只看該作者
Beispiele aus der Baubetriebspraxisium-ion batteries are usually an important method to detect the degree of aging of lithium-ion batteries. However, the general aging cycle lasts for thousands of cycles, which is more time consuming. The charge/discharge capacity of the original condition and the accelerated condition are guaranteed
30#
發(fā)表于 2025-3-26 18:35:34 | 只看該作者
https://doi.org/10.1007/978-3-8351-9025-2appropriately constructed to maximize the possibility of safe and efficient operation. With the advancement of industrial and information technologies, real-time monitoring has shown to be an efficient method of ensuring operational safety and efficiency. Although the performance of alarm systems is
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