@article{alharthai_sobuz_alharthi_kabbo_alameri_khan_2026, title={Predicting compressive strength of ultra-high-performance concrete using ensemble machine learning models with SHAP and PDP interpretations}, volume={31}, ISSN={1517-7076}, url={https://doi.org/10.1590/1517-7076-RMAT-2025-0825}, DOI={10.1590/1517-7076-RMAT-2025-0825}, journal={Matéria (Rio de Janeiro)}, publisher={Laboratório de Hidrogênio, Coppe - Universidade Federal do Rio de Janeiro, em cooperação com a Associação Brasileira do Hidrogênio, ABH2}, author={Alharthai, Mohammad and Sobuz, Md. Habibur Rahman and Alharthi, Khalid and Kabbo, Md. Kawsarul Islam and Alameri, Mohammad and Khan, Md. Munir Hayet}, year={2026}, pages={e20250825} }