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Maymouna Ezeddin
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2020 – today
- 2023
- [j4]Kanchon Kanti Podder, Maymouna Ezeddin, Muhammad E. H. Chowdhury, Md. Shaheenur Islam Sumon, Anas M. Tahir, Mohamed Arselene Ayari, Proma Dutta, Amith Khandakar, Zaid Bin Mahbub, Muhammad Abdul Kadir:
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. Sensors 23(16): 7156 (2023) - 2022
- [j3]Fahmida Haque, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Maymouna Ezeddin, Serkan Kiranyaz, Mohammed Alhatou, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Geetika Srivastava:
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait. Sensors 22(9): 3507 (2022) - 2021
- [j2]Arafat Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Maymouna Ezeddin, Muhammad Abdul Kadir:
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms. IEEE Access 9: 94625-94643 (2021) - [j1]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, M. Sohel Rahman, Somaya Al-Máadeed, Sakib Mahmud, Maymouna Ezeddin, Khaled Hameed, Tahir Hamid:
COVID-19 infection localization and severity grading from chest X-ray images. Comput. Biol. Medicine 139: 105002 (2021) - [i2]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, Mohammad Shohel Rahman, Somaya Al-Madeed, Khaled Hameed, Tahir Hamid, Sakib Mahmud, Maymouna Ezeddin:
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images. CoRR abs/2103.07985 (2021) - [i1]Muhammad Enamul Hoque Chowdhury, Nabil Ibtehaz, Tawsifur Rahman, Yosra Magdi Salih Mekki, Yazan Qiblawey, Sakib Mahmud, Maymouna Ezeddin, Susu M. Zughaier, Sumaya Ali S. A. Al-Máadeed:
QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds. CoRR abs/2103.12063 (2021)
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