Katlav, M. Et Al. 2024. Investigating the applicability of deep learning and machine learning models in predicting the structural performance of V-shaped RC folded plates. MATERIALS TODAY COMMUNICATIONS , vol.38, no.March 2024 , 1-17.

Katlav, M., Ergen, F., Türk, K., & Turğut, P., (2024). Investigating the applicability of deep learning and machine learning models in predicting the structural performance of V-shaped RC folded plates. MATERIALS TODAY COMMUNICATIONS , vol.38, no.March 2024, 1-17.

Katlav, Metin Et Al. "Investigating the applicability of deep learning and machine learning models in predicting the structural performance of V-shaped RC folded plates," MATERIALS TODAY COMMUNICATIONS , vol.38, no.March 2024, 1-17, 2024

Katlav, Metin Et Al. "Investigating the applicability of deep learning and machine learning models in predicting the structural performance of V-shaped RC folded plates." MATERIALS TODAY COMMUNICATIONS , vol.38, no.March 2024, pp.1-17, 2024

Katlav, M. Et Al. (2024) . "Investigating the applicability of deep learning and machine learning models in predicting the structural performance of V-shaped RC folded plates." MATERIALS TODAY COMMUNICATIONS , vol.38, no.March 2024, pp.1-17.

@article{article, author={Metin Katlav Et Al. }, title={Investigating the applicability of deep learning and machine learning models in predicting the structural performance of V-shaped RC folded plates}, journal={MATERIALS TODAY COMMUNICATIONS}, year=2024, pages={1-17} }