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Md Rashed-Al-Mahfuz
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2020 – today
- 2021
- [j3]Md. Rabiul Islam
, Mohammad Ali Moni
, Md. Milon Islam
, Md Rashed-Al-Mahfuz
, Md. Saiful Islam
, Md. Kamrul Hasan, Md. Sabir Hossain
, Mohiuddin Ahmad
, Shahadat Uddin
, A. K. M. Azad
, Salem A. Alyami, Md. Atiqur Rahman Ahad
, Pietro Lió
:
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access 9: 94601-94624 (2021) - 2020
- [j2]Mohammad Ali Moni
, M. Babul Islam
, Md. Rezanur Rahman
, Md Rashed-Al-Mahfuz
, Md. Abdul Awal
, Sheikh Mohammed Shariful Islam
, Md. Nurul Haque Mollah
, Julian M. W. Quinn
:
Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints. IEEE Access 8: 1486-1497 (2020) - [j1]Md. Martuza Ahamad
, Sakifa Aktar, Md Rashed-Al-Mahfuz
, Shahadat Uddin
, Pietro Liò
, Haoming Xu, Matthew A. Summers
, Julian M. W. Quinn, Mohammad Ali Moni
:
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Syst. Appl. 160: 113661 (2020) - [i1]Sakifa Aktar, Md. Martuza Ahamad, Md Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, A. H. M. Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni:
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. CoRR abs/2011.10657 (2020)
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last updated on 2024-04-24 23:06 CEST by the dblp team
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