Microstructural and mechanical characteristics evaluation of alkali-activated slag concrete and optimize with supervised hybrid machine learning modeling

Abstract This investigation employed both classical and hybrid machine learning (ML) strategies to examine the impact of alkali-activated materials on the compressive strength (CS) of Fly ash-based alkali-activated concrete (FAAC). For this reason, four supervised ML models were used in this study t...

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Autors principals:	Md. Kawsarul Islam Kabbo, Md. Habibur Rahman Sobuz, Prince Paul, Abdullah Alzlfawi, Mohammad Alameri, Mahmudur Hossain Khan, Noor Md. Sadiqul Hasan, Sani Aliyu Abubakar
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-05-01
Col·lecció:	Scientific Reports
Matèries:	Alkali-activated materials Parametric analysis Compressive strength Hybrid machine learning Microstructural analysis
Accés en línia:	https://doi.org/10.1038/s41598-026-51084-y
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