AMPLE 发表于 2025-3-27 00:56:15

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conquer 发表于 2025-3-27 01:51:26

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结果 发表于 2025-3-27 07:43:09

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crease 发表于 2025-3-27 10:41:41

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最有利 发表于 2025-3-27 15:10:21

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Allowance 发表于 2025-3-27 19:11:47

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动作谜 发表于 2025-3-28 00:45:15

https://doi.org/10.1007/978-3-322-93671-4ontrol (SPC) problems, the existing machine learning approaches have some limitations. For instance, most of them are designed for cases in which in-control (IC) process observations at different time points are assumed to be independent and identically distributed. In practice, however, serial corr

成份 发表于 2025-3-28 05:10:01

https://doi.org/10.1007/978-3-322-93671-4ocess and the high risk derived from severe consequences on the paper mills in case of production failure. Whereas the paper manufacturing process is continuous that is difficult to be warned early of faults. To address such issues, this Chapter proposes a data-driven approach to predict fault in th

llibretto 发表于 2025-3-28 09:54:17

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剧毒 发表于 2025-3-28 11:53:23

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查看完整版本: Titlebook: Artificial Intelligence for Smart Manufacturing; Methods, Application Kim Phuc Tran Book 2023 The Editor(s) (if applicable) and The Author(