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

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樓主: Embolism
21#
發(fā)表于 2025-3-25 06:31:17 | 只看該作者
22#
發(fā)表于 2025-3-25 10:59:39 | 只看該作者
23#
發(fā)表于 2025-3-25 12:52:35 | 只看該作者
Fallen Women in the Nineteenth-Century Novelificial Intelligence. Then, several difficulties and opportunities in the implementation of these techniques for quality control in Industry 5.0 are discussed. Finally, a case study on monitoring wine production in the food industry is also considered to show the performance of Machine Learning-based techniques for quality control.
24#
發(fā)表于 2025-3-25 18:34:54 | 只看該作者
25#
發(fā)表于 2025-3-25 22:49:36 | 只看該作者
Quality Control for Smart Manufacturing in Industry 5.0,ificial Intelligence. Then, several difficulties and opportunities in the implementation of these techniques for quality control in Industry 5.0 are discussed. Finally, a case study on monitoring wine production in the food industry is also considered to show the performance of Machine Learning-based techniques for quality control.
26#
發(fā)表于 2025-3-26 03:17:21 | 只看該作者
27#
發(fā)表于 2025-3-26 05:42:14 | 只看該作者
Artificial Intelligence for Smart Manufacturing978-3-031-30510-8Series ISSN 1614-7839 Series E-ISSN 2196-999X
28#
發(fā)表于 2025-3-26 09:18:17 | 只看該作者
The Steel Sector in the Global Economylaborate on the essential issues related to the applications and the potential of Artificial Intelligence algorithms in Smart Manufacturing. We will introduce crucial topics that will be discussed in the following chapters of the book.
29#
發(fā)表于 2025-3-26 15:35:54 | 只看該作者
https://doi.org/10.1007/978-3-031-30510-8Smart manufacturing; Machine learning; Reinforcement Learning; Deep learning; Smart Condition Monitoring
30#
發(fā)表于 2025-3-26 17:20:55 | 只看該作者
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