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is ?:annotates of
?:authorAffiliation
  • [\'Center for Research & Innovation, CoRI, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia.\', \'Institute of Computing and Information Technology, Gomal University, Dera Ismail Khan, Pakistan.\', \'Computer Sciences Program, Turabah University College, Taif University, Taif, Saudi Arabia.\', \'Research Chair of Pervasive and Mobile Computing, Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.\', \'Faculty of Pharmacy, Gomal University, Dera Ismail Khan, Pakistan.\', \'Faculty of Computing, Riphah International University, Islamabad, Pakistan.\', \'Malaysian Institute of Information Technology, University of Kuala Lumpur, Kuala Lumpur, Malaysia.\', \'Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia.\', \'Faculty of Engineering and Information Technology, School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.3389/fpubh.2022.855254
?:doi
?:hasPublicationType
?:journal
  • Frontiers in public health
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?:pmid
  • 35321193
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?:rankingScore_SJR
  • 0.769
?:rankingScore_hIndex
  • 23
is ?:relation_isRelatedTo_publication of
?:title
  • Facial Mask Detection Using Depthwise Separable Convolutional Neural Network Model During COVID-19 Pandemic.
?:type
?:year
  • 2022

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