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is ?:annotates of
?:authorAffiliation
  • [\'Department of Management Information, College of Management, Sakarya University, Sakarya 54050, Turkey.\', \'Department of Computer Engineering, Engineering Faculty, Kirsehir Ahi Evran University, Kirsehir 40100, Turkey.\', \'School of Management & Enterprise, University of Southern Queensland, Toowoomba, QLD 4350, Australia.\', \'Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia.\', \'Cogninet Brain Team, Cogninet Australia, Sydney, NSW 2010, Australia.\', \'Department of Computer Engineering, Faculty of Engineering, Ardahan University, Ardahan 75000, Turkey.\', \'Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield S1 1WB, UK.\', \'Department of Digital Forensics Engineering, College of Technology, Firat University, Elazig 23119, Turkey.\', \'School of Science and Technology, Faculty of Science, Agriculture, Business and Law, University of New England, Armidale, NSW 2351, Australia.\', \'Centre for Advanced Modelling and Geospatial lnformation Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia.\', \'Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore.\', \'Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore 599494, Singapore.\', \'Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung 41354, Taiwan.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 193910.3390/ijerph19041939
?:hasPublicationType
?:journal
  • International journal of environmental research and public health
is ?:pmid of
?:pmid
?:pmid
  • 35206124
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.735
?:rankingScore_hIndex
  • 67
?:title
  • Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection.
?:type
?:year
  • 2022

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