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ORIGINAL RESEARCH article

Front. Public Health, 07 March 2022

Sec. Digital Public Health

Volume 10 - 2022 | https://doi.org/10.3389/fpubh.2022.855254

This article is part of the Research TopicBig Data Analytics for Smart Healthcare applicationsView all 109 articles

RETRACTED: Facial Mask Detection Using Depthwise Separable Convolutional Neural Network Model During COVID-19 Pandemic

Retracted

Muhammad Zubair Asghar,Muhammad Zubair Asghar1,2Fahad R. AlbogamyFahad R. Albogamy3Mabrook S. Al-Rakhami
Mabrook S. Al-Rakhami4*Junaid AsgharJunaid Asghar5Mohd Khairil RahmatMohd Khairil Rahmat1Muhammad Mansoor Alam,,,,Muhammad Mansoor Alam1,6,7,8,9Adidah LajisAdidah Lajis1Haidawati Mohamad NasirHaidawati Mohamad Nasir1
  • 1Center for Research & Innovation, CoRI, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia
  • 2Institute of Computing and Information Technology, Gomal University, Dera Ismail Khan, Pakistan
  • 3Computer Sciences Program, Turabah University College, Taif University, Taif, Saudi Arabia
  • 4Research Chair of Pervasive and Mobile Computing, Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
  • 5Faculty of Pharmacy, Gomal University, Dera Ismail Khan, Pakistan
  • 6Faculty of Computing, Riphah International University, Islamabad, Pakistan
  • 7Malaysian Institute of Information Technology, University of Kuala Lumpur, Kuala Lumpur, Malaysia
  • 8Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia
  • 9Faculty of Engineering and Information Technology, School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia

Citation: Asghar MZ, Albogamy FR, Al-Rakhami MS, Asghar J, Rahmat MK, Alam MM, Lajis A and Nasir HM (2022) Facial Mask Detection Using Depthwise Separable Convolutional Neural Network Model During COVID-19 Pandemic. Front. Public Health 10:855254. doi: 10.3389/fpubh.2022.855254

Received: 15 January 2022; Accepted: 31 January 2022;
Published: 07 March 2022; Retracted: 23 October 2025.

Edited by:

Thippa Reddy Gadekallu, VIT University, India

Reviewed by:

Praveen Kumar, VIT University, India
Muhammad Shuaib Qureshi, University of Central Asia, Kyrgyzstan
Muhammad Fayaz, Jeju National University, South Korea

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