M. Fattah

Interpretable Random Forest Framework for Predicting Triaxial Shear Strength Parameters of Gypseous Soils Using Modified Collapse Test Indicators

Gypseous soils exhibit moisture-sensitive behavior because gypsum may act as a cementing agent under natural conditions but dissolves upon wetting, causing collapse and shear strength degradation. This study develops an interpretable Random Forest Regression framework to predict the shear strength parameters of collaps...

Emerging Trends in Engineering and Sustainability (ETES)

Low-carbon stabilization of granular pavement bases: a combined mechanical and life cycle assessment

Review of Enzyme-Induced Calcite Precipitation as an Enhancement Technique for Weak Soils