Journals
Ahmed, M. S., Tazwar, M. T., Khan, H., Roy, S., Iqbal, J., Rabiul Alam, M. G., Hassan, M. R., & Hassan, M. M. (2022). Yield response of different rice ecotypes to meteorological, agro-chemical, and soil physiographic factors for interpretable precision agriculture using extreme gradient boosting and support vector regression. Complexity, 2022. https://doi.org/10.1155/2022/5305353
Conferences
Dofadar, D. F., Abdullah, H. M., Khan, R. H., Rahman, R., & Ahmed, M. S. (2022, September 13). A comparative analysis of lumpy skin disease prediction through machine learning approaches. 4th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2022. https://doi.org/10.1109/IICAIET55139.2022.9936742
Joy, S. K. S., Dofadar, D. F., Khan, R. H., Ahmed, M. S., & Rahman, R. (2022, July 16). A comparative study on COVID-19 fake news detection using different transformer based models. 2022 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2022. https://doi.org/10.1109/ISIEA54517.2022.9873797
Ahmed, M. S., Rahman, R., Hossain, S., & Mohammad, S. A. (2021). Brain tumor prediction by analyzing MRI using deep learning architectures. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 1493–1498. https://doi.org/10.1109/ICIRCA51532.2021.9545077
Ahmed, M. S., Rahman, R., Arefeen, Z. R., Alam, A., & Tahreen, M. (2021). Effort to mitigate malaria via early detection using hybrid machine learning architectures. 31st International Conference on Computer Theory and Applications, ICCTA 2021, 155–159. https://doi.org/10.1109/ICCTA54562.2021.9916630
Hossain, S., Rahman, R., Ahmed, M. S., & Islam, M. S. (2020). Pneumonia detection by analyzing Xray images using MobileNET, ResNET architecture and long short term memory. 2021 6th International Conference on Inventive Computation Technologies (ICICT), 60–64. https://doi.org/10.1109/ICCTA52020.2020.9477664