Khodadadi, Nima, Roghani, Hossein, De_Caso, Francisco, El-kenawy, El-Sayed M, Yesha, Yelena, and Nanni, Antonio. Data-driven PSO-CatBoost machine learning model to predict the compressive strength of CFRP- confined circular concrete specimens. Retrieved from https://par.nsf.gov/biblio/10538750. Thin-Walled Structures 198.C Web. doi:10.1016/j.tws.2024.111763.

Khodadadi, Nima, Roghani, Hossein, De_Caso, Francisco, El-kenawy, El-Sayed M, Yesha, Yelena, & Nanni, Antonio. Data-driven PSO-CatBoost machine learning model to predict the compressive strength of CFRP- confined circular concrete specimens. Thin-Walled Structures, 198 (C). Retrieved from https://par.nsf.gov/biblio/10538750. https://doi.org/10.1016/j.tws.2024.111763

Khodadadi, Nima, Roghani, Hossein, De_Caso, Francisco, El-kenawy, El-Sayed M, Yesha, Yelena, and Nanni, Antonio. "Data-driven PSO-CatBoost machine learning model to predict the compressive strength of CFRP- confined circular concrete specimens". Thin-Walled Structures 198 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.tws.2024.111763. https://par.nsf.gov/biblio/10538750.

@article{osti_10538750,
place = {Country unknown/Code not available}, title = {Data-driven PSO-CatBoost machine learning model to predict the compressive strength of CFRP- confined circular concrete specimens}, url = {https://par.nsf.gov/biblio/10538750}, DOI = {10.1016/j.tws.2024.111763}, abstractNote = {}, journal = {Thin-Walled Structures}, volume = {198}, number = {C}, publisher = {Elsevier}, author = {Khodadadi, Nima and Roghani, Hossein and De_Caso, Francisco and El-kenawy, El-Sayed M and Yesha, Yelena and Nanni, Antonio}, }