An Integrated CNN-LSTM Model for Micro Hand Gesture Recognition. - Nanziba Basnin; Lutfun Nahar; Mohammad Shahadat Hossain (ICO, 2020)

Inference and Learning Methodology of Belief Rule Based Expert System to Assess Chikungunya. - Zinnia Sultana; Lutfun Nahar; Nanziba Basnin; Mohammad Shahadat Hossain (AII, 2021)

Deep Learning Approach to Classify Parkinson's Disease from MRI Samples. - Nanziba Basnin; Nazmun Nahar; Fahmida Ahmed Anika; Mohammad Shahadat Hossain; Karl Andersson 001 (BI, 2021)

Early Detection of Parkinson's Disease from Micrographic Static Hand Drawings. - Nanziba Basnin; Tahmina Akter Sumi; Mohammad Shahadat Hossain; Karl Andersson 001 (BI, 2021)

A Hybrid Deep Learning System to Detect Face-Mask and Monitor Social Distance. - Lutfun Nahar; Nanziba Basnin; Sirazum Nadia Hoque; Farzana Tasnim; Mohammad Shahadat Hossain; Karl Andersson 001 (AII, 2022)

IoMT-based Android Application for Monitoring COVID-19 Patients Using Real-Time Data. - Mohammad Farshid; Atia Binti Aziz; Nanziba Basnin; Mohoshena Akhter; Karl Andersson 001; Mohammad Shahadat Hossain (TCCE, 2022)

Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI Images. - Sultana Umme Habiba; Tanoy Debnath; Md. Khairul Islam; Lutfun Nahar; Mohammad Shahadat Hossain; Nanziba Basnin; Karl Andersson 001 (BI, 2023)

Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer's Disease. - Tanjim Mahmud; Koushick Barua; Anik Barua; Sudhakar Das; Nanziba Basnin; Mohammad Shahadat Hossain; Karl Andersson 001; M. Shamim Kaiser; Nahed Sharmen (BI, 2023)

A Transfer Learning Based Approach For American Sign Language Recognition Using Deep Convolutional Neural Network. - Aminul Islam; Sultana Umme Habiba; Tanjim Mahmud; Habibur Rahman; Mahmuda Akter Sumi; Nanziba Basnin; Mohammad Shahadat Hossain; Karl Andersson 001 (ICO (2), 2023)