Moustafa Houda

Use of interpretable machine learning approaches for quantificationally understanding the performance of steel fiber-reinforced recycled aggregate concrete: From the perspective of compressive strength and splitting tensile strength

Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses

Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete

Sustainable use of waste eggshells in cementitious materials: An experimental and modeling-based study