1. Ahmad, S. A., Ahmed, H. U., Ahmed, D. A., Hamah-ali, B. H. S., Faraj, R. H., & Rafiq, S. K. (2023). Predicting concrete strength with waste glass using statistical evaluations, neural networks, and linear/nonlinear models. Asian Journal of Civil Engineering, 2, 1–13.
2. Ahmad, S. A., & Rafiq, S. K. (2022). Evaluating the effect of waste glass on the fresh and mechanical properties of mortar: A review. Sulaimania Journal for Engineering Sciences, 9(1), 2.
3. Ahmad, S. A., Rafiq, S. K., Ahmed, H. U., Abdulrahman, A. S., & Ramezanianpour, A. M. (2023). Innovative soft computing techniques including artificial neural network and nonlinear regression models to predict the compressive strength of environmentally friendly concrete incorporating waste glass powder. Innovative Infrastructure Solutions, 8(4), 119.
4. Bostanci, L. (2020). Effect of waste glass powder addition on properties of alkali-activated silica fume mortars. Journal of Building Engineering, 29, 101154.
5. Cabrera Covarrubias, F. G., Gómez Soberón, J. M. V., Almaral Sánchez, J. L., Corral Higuera, R., Navarro Ezquerra, A., & Tous Coll, M. (2014). Characterization of three recycled materials for alternative use of mortars. In CSCE International Conference on Advances In Civil, Structural And Construction Engineering (pp. 69–73).