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Author

M. Jameel

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Review Nov 2026

Precision Assessment of Data-Driven Supervised Machine-Learning Models for Predicting Compressive Strength of Sustainable Waste Foundry Sand Concrete

The rapid rate of urbanization and industrialization has driven the excessive use of natural resources like river sand and gravel, raising significant sustainability concerns. Waste foundry sand (WFS), a discarded by-product of ferrous and nonferrous metal casting industries, offers a promising substitute for natur...

M. H. R. Sobuz, Md. Kawsarul Islam Kabbo, A. Alzlfawi et al. · 0 citations

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