Muntaqim, M. Z., Kafi, H. M., & Smrity, T. A. (2026). Privacy-aware plant disease detection: federated learning with homomorphic encryption on image data. The Visual Computer, 42(1), 18.
Muntaqim, M. Z., Smrity, T. A., Kafi, H. M., Miah, A. S. M., Al Farid, F., Karim, H. A., & Rahman, A. (2025). Federated learning meets few-shot learning: A voting ensemble based combined approach to cauliflower leaf disease classification across Non-IID data distributions. Array, 100516.
Muntaqim, M. Z., Smrity, T. A., Miah, A. S. M., Kafi, H. M., Tamanna, T., Al Farid, F., Rahim, M. A., Karim, H. A., & Mansor, S. (2024). Eye disease detection enhancement using a multi-stage deep learning approach. IEEE Access.
Tusher, M. M. R., Kafi, H. M., Rinky, S. R., Islam, M., & Rahman, M. M. (2023). A comparative analysis of various deep learning models for traffic signs recognition from the perspective of Bangladesh. In International Conference on Big Data, IoT and Machine Learning (pp. 547–557). Springer Nature Singapore.
Kafi, H. M., Miah, A. S. M., Shin, J., & Siddique, M. N. (2022). A lite-weight clinical features based chronic kidney disease diagnosis system using 1D convolutional neural network. In 2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) (pp. 1–5). IEEE.
Kafi, H. M., Al-Hasan, Md., Mohammad, H., & Rashid, Md. M. (2021). A robust multi-server two factor remote user authentication scheme using smartphone and biometric. In 5th International Conference on Internet of Things and Connected Technologies (ICIoTCT) 2020 (Vol. 1382).
Al-Hasan, M., Kafi, H. M., Rizvee, M. A., Hasan, M., & Rashid, M. M. (2020). Context-aware computing for balanced agricultural production using machine learning. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1–6). IEEE.