Ezami, N. Et Al. 2023. Advancing Shear Capacity Estimation in Rectangular RC Beams: A Cutting-Edge Artificial Intelligence Approach for Assessing the Contribution of FRP. Sustainability (Switzerland) , vol.15, no.22 .

Ezami, N., ÖZYÜKSEL ÇİFTÇİOĞLU, A., Mirrashid, M., & Naderpour, H., (2023). Advancing Shear Capacity Estimation in Rectangular RC Beams: A Cutting-Edge Artificial Intelligence Approach for Assessing the Contribution of FRP. Sustainability (Switzerland) , vol.15, no.22.

Ezami, Nima Et Al. "Advancing Shear Capacity Estimation in Rectangular RC Beams: A Cutting-Edge Artificial Intelligence Approach for Assessing the Contribution of FRP," Sustainability (Switzerland) , vol.15, no.22, 2023

Ezami, Nima Et Al. "Advancing Shear Capacity Estimation in Rectangular RC Beams: A Cutting-Edge Artificial Intelligence Approach for Assessing the Contribution of FRP." Sustainability (Switzerland) , vol.15, no.22, 2023

Ezami, N. Et Al. (2023) . "Advancing Shear Capacity Estimation in Rectangular RC Beams: A Cutting-Edge Artificial Intelligence Approach for Assessing the Contribution of FRP." Sustainability (Switzerland) , vol.15, no.22.

@article{article, author={Nima Ezami Et Al. }, title={Advancing Shear Capacity Estimation in Rectangular RC Beams: A Cutting-Edge Artificial Intelligence Approach for Assessing the Contribution of FRP}, journal={Sustainability (Switzerland)}, year=2023}