APA (7th ed.) Citation

Khan, M. A., Ullah, A. R., Mukhtiar, D., Siddique, M. S., Iqbal, M. H., & Inqiad, W. B. (2025). Enhancing accuracy in flexural strength prediction of glass fibre-reinforced concrete via TPE-XGB algorithm and explainable machine learning. Innovative infrastructure solutions : the official journal of the Soil-Structure Interaction Group in Egypt (SSIGE), 10(9), 416. https://doi.org/10.1007/s41062-025-02212-6

Chicago Style (17th ed.) Citation

Khan, Muhammad Abdullah, Anas Rahat Ullah, Danish Mukhtiar, Muhammad Shahid Siddique, Muhammad Hammad Iqbal, and Waleed Bin Inqiad. "Enhancing Accuracy in Flexural Strength Prediction of Glass Fibre-reinforced Concrete via TPE-XGB Algorithm and Explainable Machine Learning." Innovative Infrastructure Solutions : The Official Journal of the Soil-Structure Interaction Group in Egypt (SSIGE) 10, no. 9 (2025): 416. https://doi.org/10.1007/s41062-025-02212-6.

MLA (9th ed.) Citation

Khan, Muhammad Abdullah, et al. "Enhancing Accuracy in Flexural Strength Prediction of Glass Fibre-reinforced Concrete via TPE-XGB Algorithm and Explainable Machine Learning." Innovative Infrastructure Solutions : The Official Journal of the Soil-Structure Interaction Group in Egypt (SSIGE), vol. 10, no. 9, 2025, p. 416, https://doi.org/10.1007/s41062-025-02212-6.