@article{alzaben_maashi_nouri_kathiresan_arumugam_duraisamy_2024,  title={Artificial neural network to predict the compressive strength of high strength self-compacting concrete made of marble dust},  volume={29},  ISSN={1517-7076},  url={https://doi.org/10.1590/1517-7076-RMAT-2024-0329},  DOI={10.1590/1517-7076-RMAT-2024-0329},  number={3},  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={Alzaben, Nada and Maashi, Mashael and Nouri, Amal M and Kathiresan, Nithya and Arumugam, Manimaran and Duraisamy, Dhavashankaran},  year={2024},  pages={e20240329} }