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Dabiri H, Farhangi V, Moradi MJ, Zadehmohamad M, Karakouzian M. Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars. Applied Sciences. 2022; 12(10):4851. https://doi.org/10.3390/app12104851

Dabiri, Hamed, Visar Farhangi, Mohammad Javad Moradi, Mehdi Zadehmohamad, and Moses Karakouzian. 2022. "Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars" Applied Sciences 12, no. 10: 4851. https://doi.org/10.3390/app12104851

Dabiri, H., Farhangi, V., Moradi, M. J., Zadehmohamad, M., & Karakouzian, M. (2022). Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars. Applied Sciences, 12(10), 4851. https://doi.org/10.3390/app12104851