| Development of ensemble machine learning approaches for designing fiber-reinforced polymer composite strain prediction model A Milad, SH Hussein, AR Khekan, M Rashid, H Al-Msari, TH Tran Engineering with Computers 38 (4), 3625-3637, 2022 | 39 | 2022 |
| Modelling of ultimate load for lightweight palm oil clinker reinforced concrete beams with web openings using response surface methodology SH Hussein, KMB Mustapha, ZC Muda, S Budde International Journal of Civil Engineering and Technology 3 (1), 33-44, 2012 | 15 | 2012 |
| Optimized adaptive neuro-fuzzy inference system using metaheuristic algorithms: Application of shield tunnelling ground surface settlement prediction X Liu, SH Hussein, KH Ghazali, TM Tung, ZM Yaseen Complexity 2021, 1-15, 2021 | 13 | 2021 |
| Compressive strength prediction using coupled deep learning model with extreme gradient boosting algorithm: environmentally friendly concrete incorporating recycled aggregate MW Falah, SH Hussein, MA Saad, ZH Ali, TH Tran, RM Ghoniem, ... Complexity 2022, 2022 | 9 | 2022 |
| Verification For Modeling of Ultimate Load For Lightweight Palm Oil Clinker Reinforced Concrete Beams with Web Openings Using Response Surface Methodology SH Hussein, KNB Mustapha, ZC Muda, S Beddu International Journal of Civil Engineering and Technology 3 (2), 2012 | 4 | 2012 |
| Statistical Modelling for Verification of Deflection for Lightweight Reinforced Concrete Beams with Openings SH Hussein, QO Hasan, M Alzaidi Stat. Modelling 5 (12), 2016 | 2 | 2016 |
| MODELING OF FIRST CRACK FOR LIGHTWEIGHT PALM OIL CLINKER REINFORCED CONCRETE BEAMS WITH WEB OPENINGS BY RESPONSE SURFACE METHODOLOGY SH Hussein, KNB Mustapha, ZC Muda | | |
