Explainable Hybridized Machine Learning for Prediction of Compressive Strength of Fly-Ash based Geopolymer Concrete

Predicting the Compressive Strength of Fly Ash Composite Foam Concrete Using Artificial Neural Networks and Soft Computing Techniques

Hybrid Data-Driven and Explainable Modeling of Compressive Strength in GGBFS–MRP Concrete with Environmental Optimization