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Nanziba Basnin
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2020 – today
- 2023
- [c8]Tanjim Mahmud, Koushick Barua, Anik Barua, Sudhakar Das, Nanziba Basnin, Mohammad Shahadat Hossain, Karl Andersson, M. Shamim Kaiser, Nahed Sharmen:
Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer's Disease. BI 2023: 109-120 - [c7]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 - 2022
- [c6]Lutfun Nahar, Nanziba Basnin, Sirazum Nadia Hoque, Farzana Tasnim, Mohammad Shahadat Hossain, Karl Andersson:
A Hybrid Deep Learning System to Detect Face-Mask and Monitor Social Distance. AII 2022: 308-319 - [c5]Mohammad Farshid, Atia Binti Aziz, Nanziba Basnin, Mohoshena Akhter, Karl Andersson, Mohammad Shahadat Hossain:
IoMT-based Android Application for Monitoring COVID-19 Patients Using Real-Time Data. TCCE 2022: 145-157 - 2021
- [c4]Zinnia Sultana, Lutfun Nahar, Nanziba Basnin, Mohammad Shahadat Hossain:
Inference and Learning Methodology of Belief Rule Based Expert System to Assess Chikungunya. AII 2021: 3-16 - [c3]Nanziba Basnin, Tahmina Akter Sumi, Mohammad Shahadat Hossain, Karl Andersson:
Early Detection of Parkinson's Disease from Micrographic Static Hand Drawings. BI 2021: 433-447 - [c2]Nanziba Basnin, Nazmun Nahar, Fahmida Ahmed Anika, Mohammad Shahadat Hossain, Karl Andersson:
Deep Learning Approach to Classify Parkinson's Disease from MRI Samples. BI 2021: 536-547 - 2020
- [c1]Nanziba Basnin, Lutfun Nahar, Mohammad Shahadat Hossain:
An Integrated CNN-LSTM Model for Micro Hand Gesture Recognition. ICO 2020: 379-392
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