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Machine Learning-Based Prediction of Multi-Year Cumulative Atmospheric Corrosion Loss in Low-Alloy Steels with SHAP Analysis.

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Title: Machine Learning-Based Prediction of Multi-Year Cumulative Atmospheric Corrosion Loss in Low-Alloy Steels with SHAP Analysis.
Authors: Tiwari, Saurabh1, Heo, Seong Jun1,2, Park, Nokeun1,2
Source: Coatings (2079-6412); Apr2026, Vol. 16 Issue 4, p488, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193439969
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  Data: Machine Learning-Based Prediction of Multi-Year Cumulative Atmospheric Corrosion Loss in Low-Alloy Steels with SHAP Analysis.
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  Data: <searchLink fieldCode="JN" term="%22Coatings+%282079-6412%29%22">Coatings (2079-6412)</searchLink>; Apr2026, Vol. 16 Issue 4, p488, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193439969
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/coatings16040488
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 488
    Titles:
      – TitleFull: Machine Learning-Based Prediction of Multi-Year Cumulative Atmospheric Corrosion Loss in Low-Alloy Steels with SHAP Analysis.
        Type: main
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            NameFull: Tiwari, Saurabh
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            NameFull: Heo, Seong Jun
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            NameFull: Park, Nokeun
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 16
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              Value: 4
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            – TitleFull: Coatings (2079-6412)
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