1. Sayed, A., & Rahman, M. M. (2025). M5 soft computing techniques for assessment of soil liquefaction. Journal of Rehabilitation in Civil Engineering. Advance online publication. https://doi.org/10.22075/jrce.2025.34669.2134 |
2. Rahman, M. M., Sayed, M. A., Islam, M. S., & Ali, M. E. (2025). Application of RVS and Turkish method to detect seismic vulnerability of existing RC building in Jaurul Nagar, Bogura. Journal of Brilliant Engineering, Volume 6, Issue 1, Page 4972. https://doi.org/10.36937/ben.2025.4972 |
3. Sayed, M. A., Rose, A. S., Hasan, M. M., Khatun, M. M., & Rashid, H. A. (2025). Machine learning approaches for water quality index prediction in Paba Upazila, Rajshahi: A comparative study of Minitab and advanced algorithms. Civil Engineering Beyond Limits 2, Volume 6, Issue 2, https://doi.org/10.36937/cebel.2025.1999 |
4. Rahman, M. M., Sayed, M. A., Khatun, M. M., & Mimi, A. (2025). Application of heuristic optimization approaches to evaluate compaction parameters. Civil Engineering Beyond Limits, 2, Volume 6, Issue 2, https://doi.org/10.36937/cebel.2025.1995 |
5. Sayed, M. A., Rose, A. S., Hasan, M. M., Khatun, M. M., & Rashid, H. A. (2024). Predictive modeling of water quality index using Minitab and machine learning algorithms: Insights from Paba Upazila, Rajshahi. In Proceedings of the International Conference on Emerging Technologies for Sustainable Development (ICETSD 2024),JUST,Bangladesh |
6. Rouf, M. A., Hossain, M. S., & Sayed, M. A. (2024). Simulation-based warhead target screening using machine learning and deep learning techniques in MATLAB. In Proceedings of the International Conference on Emerging Technologies for Sustainable Development (ICETSD 2024), JUST,Bangladesh. |
7. Rahman, M. M., Hossain, M., Sayed, A., & Thakur, S. (2024). Assessment of liquefaction potential based on the logistic regression machine learning algorithm. 7 th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024). https://doi.org/10.13140/RG.2.2.24047.65440 |