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Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing.

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Title: Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing.
Authors: Xie, Jiarui1, Safdar, Mutahar1, Mircea, Andrei1, Zhao, Bi Cheng1, Lu, Yan2, Ko, Hyunwoong3, Yang, Zhuo2, Zhao, Yaoyao Fiona1, yaoyao.zhao@mcgill.ca
Source: Engineering Applications of Artificial Intelligence; Dec2025:Part C, Vol. 161, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188801741
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing.
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Artificial+Intelligence%22">Engineering Applications of Artificial Intelligence</searchLink>; Dec2025:Part C, Vol. 161, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188801741
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.engappai.2025.112223
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing.
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            NameFull: Xie, Jiarui
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            NameFull: Safdar, Mutahar
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            NameFull: Zhao, Bi Cheng
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            NameFull: Lu, Yan
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            NameFull: Ko, Hyunwoong
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            NameFull: Yang, Zhuo
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            NameFull: Zhao, Yaoyao Fiona
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          Dates:
            – D: 05
              M: 12
              Text: Dec2025:Part C
              Type: published
              Y: 2025
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              Value: 161
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            – TitleFull: Engineering Applications of Artificial Intelligence
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