Qaim Shah

A hybrid explainable machine learning framework for accurate prediction of punching shear capacity in reinforced concrete flat slabs

Building Information Modelling (BIM) adoption in developing economies: an analysis of barriers, critical success factors, and a public infrastructure viability framework

Machine learning based prediction and analysis of bond strength between steel reinforcement and geopolymer concrete under cyclic loading for seismic applications: a review

The bond behavior between steel reinforcement and geopolymer concrete under cyclic loading is a critical factor for the performance of reinforced concrete structures in seismic regions. Traditional empirical models often fail to capture the complex, nonlinear interactions at the steel concrete interface, particularly...

Explainable ensemble learning framework for bond strength prediction in 3D printed concrete structures

A comprehensive data-driven framework integrating ensemble machine learning models with systematic hyperparameter sensitivity analysis and explainable artificial intelligence techniques is proposed, demonstrating that the XGB model significantly outperforms the other approaches, achieving superior accuracy and robust g...