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ORCIDMohammad Rakibul Hasan Mahin
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2020 – today
- 2024
[i2]Md. Farhadul Islam, Md. Tanzim Reza, Meem Arafat Manab, Mohammad Rakibul Hasan Mahin, Sarah Zabeen, Jannatun Noor:
Spatially Optimized Compact Deep Metric Learning Model for Similarity Search. CoRR abs/2404.06593 (2024)- [i1]Md. Farhadul Islam, Sarah Zabeen, Meem Arafat Manab, Mohammad Rakibul Hasan Mahin, Joyanta Jyoti Mondal, Md. Tanzim Reza, Md. Zahidul Hasan, Munima Haque, Farig Sadeque, Jannatun Noor:
Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation. CoRR abs/2409.18506 (2024) - 2023
- [c4]Waheed Moonwar, Mohammad Rakibul Hasan Mahin, Yasmin Nadia, Fahmid Bin Kibria, Aurnab Biswas, Fatiha Ishrar Chowdhury, Sifat E. Jahan
, Annajiat Alim Rasel:
Tomato Leaf Disease Classification with Vision Transformer Variants. ACPR (1) 2023: 95-107 - [c3]Md. Shamsul Rayhan Chy, Md. Shamsul Rahat Chy, Mohammad Rakibul Hasan Mahin, Mohammad Muhibur Rahman, Md Sabbir Hossain, Annajiat Alim Rasel:
Sarcasm Detection in News Headlines Using Evidential Deep Learning-Based LSTM and GRU. ACPR (1) 2023: 194-202 - [c2]Sadiq Uddin Bhuiyan, Mohammad Rakibul Hasan Mahin, Mir Jadir Siddique, Nahin Hossain, Shammo Faiyaz Ahmed, Mobashra Abeer, Annajiat Alim Rasel:
Breast Cancer Segmentation on Ultrasound Images using U-Net and Grad-CAM. ICMLA 2023: 2107-2112 - [c1]Md. Shamsul Rayhan Chy, Mohammad Rakibul Hasan Mahin, Md. Farhadul Islam, Md Sabbir Hossain, Annajiat Alim Rasel:
Classifying Corn Leaf Diseases using Ensemble Learning with Dropout and Stochastic Depth Based Convolutional Networks. ICMLT 2023: 185-189
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