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Predicting the strength of alkali-activated masonry blocks using machine learning models: geopolymer mortar with quarry waste, rice husk ash, and eggshell ash

Crossref DOI link: https://doi.org/10.1007/s41024-025-00573-0

Published Online: 2025-01-28

Published Print: 2025-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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