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ORCIDSultana Umme Habiba
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2020 – today
- 2024
[c7]Md. Washiur Rahman
, Tafannum Mahjabeen, Tarik Reza Toha, Sultana Umme Habiba, Shaikh Md. Mominul Alam:
Sound-based Fault Detection in Knitting Machine. NSysS 2024: 79-85- [c6]Pritom Goswami, Md. Asadul Islam, Md. Washiur Rahman, Avishek Das Gupta, Md. Harunur Rashid Bhuiyan, Sultana Umme Habiba, Anupom Mondol, Tarik Reza Toha, Shaikh Md. Mominul Alam:
Monitoring Yarn Shade Variation using Computer Vision Techniques. NSysS 2024: 112-119 - [c5]Asef Rahman Dipto, Md. Shahriar Istiaqe, Nazmul Islam, Sultana Umme Habiba, Tarik Reza Toha, Shaikh Md. Mominul Alam:
Short Paper: Prediction of Yarn Fineness Using Computer Vision Based Techniques. NSysS 2024: 210-215 - 2023
- [c4]Sultana Umme Habiba, Tanoy Debnath, Md. Khairul Islam, Lutfun Nahar, Mohammad Shahadat Hossain, Nanziba Basnin, Karl Andersson:
Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI Images. BI 2023: 383-394 - [c3]Aminul Islam, Sultana Umme Habiba, Tanjim Mahmud, Habibur Rahman, Mahmuda Akter Sumi, Nanziba Basnin, Mohammad Shahadat Hossain, Karl Andersson:
A Transfer Learning Based Approach For American Sign Language Recognition Using Deep Convolutional Neural Network. ICO (2) 2023: 40-49 - [c2]Sultana Umme Habiba, Fatema Tuj Johora, Tanjim Mahmud, Tanpia Tasnim, Farzana Tasnim, Sumaiya Kabir, Mohammad Shahadat Hossain, Karl Andersson:
Enhancing Low-Resource Bangla Fake News Detection through Deep Convolutional Neural Networks. ICO (2) 2023: 104-114 - 2022
- [c1]Sultana Umme Habiba, Md. Khairul Islam, Lutfun Nahar, Farzana Tasnim, Mohammad Shahadat Hossain, Karl Andersson:
Brain-DeepNet: A Deep Learning Based Classifier for Brain Tumor Detection and Classification. ICO 2022: 550-560
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