- 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, IndiaReviewed by:
Praveen Kumar, VIT University, IndiaMuhammad Shuaib Qureshi, University of Central Asia, Kyrgyzstan
Muhammad Fayaz, Jeju National University, South Korea
Mohd Khairil Rahmat1