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Author

S. Adedokun

2 papers indexed here

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Open access Oct 2026

MACHINE LEARNING PREDICTION OF THE BASELINE COMPRESSIVE STRENGTH AND COMPRESSIVE STRENGTH OF SCM CONCRETE SUBJECTED TO CHLORIDE INGRESSION

This study explores the potential advantages of using multiple machine learning (ML) models to predict the baseline compressive strength (CS) and CS of SCM concrete subjected to chloride ingression. Four ML models, including Random Forest (RF), Gradient Boosting (GradBoost), Extreme Gradient Boosting (XgBoost), and Ada...

O. Ikponmwosa, A. A. Falade, S. Adedokun · 0 citations
Open access 2024

Comparative effects of selected wastes on the indices and strength properties of laterite soil

This study carried out comparative analyses of the potentials of induction furnace slag (IFS), rice husk ash (RHA) and saw dust Ash (SDA) on the geotechnical properties of the A-7-6 and CL classified laterite soil obtained from Imota, Lagos State. By these classifications, the laterite soil is a poor subgrade material...

S. Adedokun, A. Ganiyu, G. O. Adebajo et al. · 3 citations

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