D. Bhaskar

Explainable Machine Learning for Compressive Stress Prediction in Cement-Based Construction Materials: A Systematic Benchmarking and SHAP Interpretability Study

Accurate prediction of the compressive strength of cement-based materials remains a central problem in structural engineering, because the property depends on strongly nonlinear interactions among mixture proportions, supplementary cementitious materials and curing age. Recent systematic reviews of the machine learning...