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
Dofadar, D. F., Khan, R. H., Hasan, S., Taj, T. A., Shakil, A., & Majumdar, M. (2021). A hybrid evolutionary approach to solve university course allocation problem. Proceedings - 2021 International Conference on Artificial Intelligence and Blockchain Technology, AIBT 2021, 48–52. https://doi.org/10.1109/AIBT53261.2021.00015
Dofadar, D. F., Khan, R. H., & Alam, M. G. R. (2021). COVID-19 confirmed cases and deaths prediction in Bangladesh using hidden markov model. BioSMART 2021 - Proceedings: 4th International Conference on Bio-Engineering for Smart Technologies. https://doi.org/10.1109/BioSMART54244.2021.9677841
Khan, R. H., Dofadar, D. F., & Rabiul Alam, M. G. (2021). Explainable customer segmentation using K-means clustering. 2021 IEEE 12th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2021, 639–643. https://doi.org/10.1109/UEMCON53757.2021.9666609