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An imbalanced data learning approach for tool wear monitoring based on data augmentation.

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Title: An imbalanced data learning approach for tool wear monitoring based on data augmentation.
Authors: Zhang, Bowen1, Liu, Xianli1, xlliu@hrbust.edu.cn, Yue, Caixu1, Liu, Shaoyang1, Li, Xuebing1, Liang, Steven Y.2, Wang, Lihui3
Source: Journal of Intelligent Manufacturing; Jan2025, Vol. 36 Issue 1, p399-420, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182077340
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An imbalanced data learning approach for tool wear monitoring based on data augmentation.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Jan2025, Vol. 36 Issue 1, p399-420, 22p
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      – Type: doi
        Value: 10.1007/s10845-023-02235-9
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        Text: English
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        StartPage: 399
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      – TitleFull: An imbalanced data learning approach for tool wear monitoring based on data augmentation.
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            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
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