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A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management.

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Title: A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management.
Authors: Zhang, Ying1, Safdar, Mutahar1, Xie, Jiarui1, Li, Jinghao1, Sage, Manuel1, Zhao, Yaoyao Fiona1, yaoyao.zhao@mcgill.ca
Source: Journal of Intelligent Manufacturing; Dec2023, Vol. 34 Issue 8, p3305-3340, 36p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 172041337
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Dec2023, Vol. 34 Issue 8, p3305-3340, 36p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=172041337
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      – Type: doi
        Value: 10.1007/s10845-022-02017-9
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      – Code: eng
        Text: English
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        PageCount: 36
        StartPage: 3305
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      – TitleFull: A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management.
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            NameFull: Zhang, Ying
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            NameFull: Safdar, Mutahar
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            NameFull: Xie, Jiarui
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            NameFull: Li, Jinghao
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            NameFull: Sage, Manuel
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            NameFull: Zhao, Yaoyao Fiona
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            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
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              Value: 34
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