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Designing a robust extreme gradient boosting model with SHAP-based interpretation for predicting carbonation depth in recycled aggregate concrete.

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Title: Designing a robust extreme gradient boosting model with SHAP-based interpretation for predicting carbonation depth in recycled aggregate concrete.
Authors: Alizamir, Meysam1,2, meysamalizamir@duytan.edu.vn, Gholampour, Aliakbar3, Kim, Sungwon4, Heddam, Salim5, Kim, Jaehwan6, jaehwankim@kict.re.kr
Source: Artificial Intelligence Review; Jan2026, Vol. 59 Issue 1, p1-39, 39p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Jan2026, Vol. 59 Issue 1, p1-39, 39p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189318108
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        Value: 10.1007/s10462-025-11411-7
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        Text: English
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              Text: Jan2026
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              Y: 2026
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