APA (7th ed.) Citation

(14779165), T. G. W., (17268940), A. A., (14779168), U. E., & (14152461), W. A. (2022). FAI: Fast, accurate, and intelligent approach and prediction tool for flexural capacity of FRP-RC beams based on super-learner machine learning model.

Chicago Style (17th ed.) Citation

(14779165), Tadesse G. Wakjira, Abdelrahman Abushanab (17268940), Usama Ebead (14779168), and Wael Alnahhal (14152461). FAI: Fast, Accurate, and Intelligent Approach and Prediction Tool for Flexural Capacity of FRP-RC Beams Based on Super-learner Machine Learning Model. 2022.

MLA (9th ed.) Citation

(14779165), Tadesse G. Wakjira, et al. FAI: Fast, Accurate, and Intelligent Approach and Prediction Tool for Flexural Capacity of FRP-RC Beams Based on Super-learner Machine Learning Model. 2022.