O. Ikponmwosa

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...