Synergistic effects of supplementary cementitious materials and compressive strength prediction of concrete using machine learning algorithms with SHAP and PDP analyses R Karim, MH Islam, SD Datta, A Kashem Case Studies in Construction Materials 20, e02828, 2024 | 47 | 2024 |
Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses A Kashem, R Karim, SC Malo, P Das, SD Datta, M Alharthai Case Studies in Construction Materials, e02991, 2024 | 31 | 2024 |
Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric analyses A Kashem, R Karim, P Das, SD Datta, M Alharthai Case Studies in Construction Materials 20, e03030, 2024 | 25 | 2024 |
A comparative study of ensemble machine learning models for compressive strength prediction in recycled aggregate concrete and parametric analysis P Das, A Kashem, JU Rahat, R Karim Multiscale and Multidisciplinary Modeling, Experiments and Design, 1-26, 2024 | 2 | 2024 |
Hybrid deep learning models for multi-ahead river water level forecasting A Kashem, P Das, MM Hasan, R Karim, NM Nasher Earth Science Informatics, 1-17, 2024 | 1 | 2024 |