| Rahman, M., Hasan, M. M., Hossain, M. A., Islam, M. M., Das, U. K., Karim, M. R., & Sadiq, S. (2025). Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agriculture water management. Journal of Environmental Management. (Q1,Cite Score 13.7 ,Impact Factor 8.0 )
Doi: https://doi.org/10.1016/j.jenvman.2025.124363
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| Raju, M. R., Ahmad, S. I., Hasan, M. M., Hasan, N. M. S., Islam, M. M., Basit, M. A., Hossain, I. T., Santo, S. A., Alam, M. S., & Rahman, M. (2025). Machine learning for predicting strength properties of waste iron slag concrete. Heliyon, 11(2), e42133. (Q1,Cite Score 4.5 ,Impact Factor 3.4 )
Doi: https://doi.org/10.1016/j.heliyon.2025.e42133
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| Raju, M. R., Rahman, M., Hasan, M. M., Islam, M. M., & Alam, M. S. (2023). Estimation of concrete materials' uniaxial compressive strength using soft computing techniques. Heliyon,
9(11), e22502. (Q1,Cite Score 4.5, Impact Factor 3.4 ) Doi: https://doi.org/10.1016/j.heliyon.2023.e22502
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| Rahman, M., Hasan, M. M., Hossain, M. A., Islam, M. M., Das, U. K., Karim, M. R., &
Sadiq, S. (2025). Advancing Evapotranspiration, Potential Evapotranspiration, and Crop Water
Stress Index Forecasting: Integrating Deep Learning for Current and Future Agricultural Water Management. SSRN (Q1 )
Doi: http://dx.doi.org/10.2139/ssrn.4966439
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| Raju, M. R., Rahman, M., Islam, Hasan, M. M., N. M. . S. , Hasan, M. M. ., Sharmily, T. ., & Hosen, M. S. (2024). A Comparative Analysis of Machine Learning Approaches for Evaluating the Compressive Strength of Pozzolanic Concrete. IUBAT Review, 7(1), 90–122. Doi: https://doi.org/10.3329/iubatr.v7i1.74329 Conference Papers:
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| Lamia, S., Hasan, M. M., A. R. M. Kamal and M. A. Hossain, Aspect Based Sentiment
Analysis in Bengali Text using Machine Learning and Deep Learning Algorithms, 2023 26th
International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2023, pp. 1-6,
Doi: https://doi.org/10.1109/ICCIT60459.2023.10441511 Under
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| Won, M., Sadiq, S., Hasan, M. M., Mahfuzur R., (20xx) , Novel hybrid GBR-DNN model for predicting the Gravity Grouted Soil Nail Pullout Bond Strength in Weathered Soil, Journal of Rock Mechanics and Geotechnical Engineering (Q1,Cite Score-11.6, Impact Factor-9.4)
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| Raju,M.R., Hasan,M.M., Shanto, S.H., Rahman, M., Advancing Sustainable Concrete: Non-Destructive Strength Assessment and Deep Learning Modeling of Steel Slag Aggregate
Mixtures. Journal of Structural Concrete (Q1, Cite Score -6.9, Impact Factor - 3.3)
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