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Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection.
Aydemir, Emrah; Yalcinkaya, Mehmet Ali; Barua, Prabal Datta; Baygin, Mehmet; Faust, Oliver; Dogan, Sengul; Chakraborty, Subrata; Tuncer, Turker; Acharya, U Rajendra.
Affiliation
  • Aydemir E; Department of Management Information, College of Management, Sakarya University, Sakarya 54050, Turkey.
  • Yalcinkaya MA; Department of Computer Engineering, Engineering Faculty, Kirsehir Ahi Evran University, Kirsehir 40100, Turkey.
  • Barua PD; School of Management & Enterprise, University of Southern Queensland, Toowoomba, QLD 4350, Australia.
  • Baygin M; Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia.
  • Faust O; Cogninet Brain Team, Cogninet Australia, Sydney, NSW 2010, Australia.
  • Dogan S; Department of Computer Engineering, Faculty of Engineering, Ardahan University, Ardahan 75000, Turkey.
  • Chakraborty S; Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield S1 1WB, UK.
  • Tuncer T; Department of Digital Forensics Engineering, College of Technology, Firat University, Elazig 23119, Turkey.
  • Acharya UR; School of Science and Technology, Faculty of Science, Agriculture, Business and Law, University of New England, Armidale, NSW 2351, Australia.
Int J Environ Res Public Health ; 19(4)2022 02 09.
Article in En | MEDLINE | ID: mdl-35206124
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 / Masks Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Int J Environ Res Public Health Year: 2022 Document type: Article Affiliation country: Turkey
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 / Masks Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Int J Environ Res Public Health Year: 2022 Document type: Article Affiliation country: Turkey