Interpretable machine learning with Bayesian optimization for bond strength prediction of steel reinforcement in geopolymer concrete.

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Bibliographic Details
Title: Interpretable machine learning with Bayesian optimization for bond strength prediction of steel reinforcement in geopolymer concrete.
Authors: Tran VH; Faculty of Civil Engineering, University of Transport and Communications, Hanoi, Vietnam., Hoang VH; Faculty of Civil Engineering, University of Transport and Communications, Hanoi, Vietnam., Tran QM; Department of Civil Engineering, University of Minho, Guimarães, Portugal.
Source: PloS one [PLoS One] 2026 Jul 09; Vol. 21 (7), pp. e0352645. Date of Electronic Publication: 2026 Jul 09 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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