S. Rouabah

Machine Learning Approaches for Predicting Compressive Strength of Concrete: A Comparative Performance Analysis

Investigation of machine learning models for predicting the compressive strength of concrete using a publicly available experimental dataset reveals that curing age and cement content are the most influential parameters affecting compressive strength, followed by water content, which is consistent with established conc...