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COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in Chest X-ray Images

A. S. Al-Waisy1, Mazin Abed Mohammed1, Shumoos Al-Fahdawi1, M. S. Maashi2, Begonya Garcia-Zapirain3, Karrar Hameed Abdulkareem4, S. A. Mostafa5, Nallapaneni Manoj Kumar6, Dac-Nhuong Le7,8,*

1 College of Computer Science and Information Technology, University of Anbar, Anbar, 31001, Iraq
2 College of Computer and Information Sciences, King Saud University, Riyadh, 11451, Saudi Arabia
3 eVIDA Lab, University of Deusto. Avda/Universidades, Bilbao, 24.48007, Spain
4 College of Agriculture, Al-Muthanna University, Samawah, 66001, Iraq
5 Faculty of Computer Science and Information Technology, University Tun Hussein Onn Malaysia, Johor, 86400, Malaysia
6 School of Energy and Environment, City University of Hong Kong, Kowloon, 83, Hong Kong
7 Institute of Research and Development, Duy Tan University, Danang, 550000, Vietnam
8 Faculty of Information Technology, Duy Tan University, Danang, 550000, Vietnam

* Corresponding Author: Dac-Nhuong Le. Email: email

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