Publications (Book Chapter ):
1. Md. Jubayar Alam Rafi et al. "VashaNet-V2: Bangla Handwritten Character Recognition Using a Novel Deep Convolutional Neural Network and an Extended Original Dataset." In International Conference on Machine Intelligence and Emerging Technologies, pp. 491-506. Singapore: Springer Nature Singapore, 2024. DOI: https://doi.org/10.1007/978-981-96-2721-9_32

Publications (Conferences ):
1. Md Jubayar Alam Rafi et al. "Non-biodegradable plastic waste detection and classification using deep learning: Bangladeshi environmental scenario." In 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), pp. 172-177. IEEE, 2024. DOI: https://doi.org/10.1109/ICEEICT62016.2024.10534312

2. Md Jubayar Alam Rafi et al. "Non-permissible Mobile Detection to Enhance Security in Bangladeshi Museum: A Multiprocess YOLO-Based Approach." In 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), pp. 37-42. IEEE, 2024. DOI: https://doi.org/10.1109/ICEEICT62016.2024.10534325

3. MD Jubayar Alam Rafi et al. "Citrus Leaf Disease Classification Using Different Deep Learning Models: A Survey of Southern part of Bangladesh." In 2024 27th International Conference on Computer and Information Technology (ICCIT), pp. 121-126. IEEE, 2024. DOI: https://doi.org/10.1109/ICCIT64611.2024.11022384

Publications (Journal):
1. Md Jubayar Alam Rafi et al. "NSTU-BDTAKA: An open dataset for Bangladeshi paper currency detection and recognition." Data in Brief 55 (2024): 110701. DOI: https://doi.org/10.1016/j.dib.2024.110701

2. Md Jubayar Alam Rafi et al. "UGV-NBWASTE: An oriented dataset for non-biodegradable waste in Bangladesh." Data in Brief 60 (2025): 111559.

3. Md Jubayar Alam Rafi et al. "Neural Network-based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-based Model and Direct Imaging Model." Food Science & Nutrition 13, no. 12 (2025): e71350. DOI: https://doi.org/10.1002/fsn3.71350