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2. Sayed, A. and Rahman, M.M.* (2025). M5 Soft Computing Techniques for Assessment of Soil Liquefaction. Journal of Rehabilitation in Civil Engineering, 13(3), 199-214. doi: 10.22075/jrce.2025.34669.2134 (Scopus; Q3; Cite Scores: 1.2) |
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5. 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 |
6. 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 |
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8. 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.
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