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FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas.
Benifa, J V Bibal; Chola, Channabasava; Muaad, Abdullah Y; Hayat, Mohd Ammar Bin; Bin Heyat, Md Belal; Mehrotra, Rajat; Akhtar, Faijan; Hussein, Hany S; Vargas, Debora Libertad Ramírez; Castilla, Ángel Kuc; Díez, Isabel de la Torre; Khan, Salabat.
Affiliation
  • Benifa JVB; Department of Computer Science and Engineering, Indian Institute of Information Technology Kottayam, Kottayam 686635, India.
  • Chola C; Department of Computer Science and Engineering, Indian Institute of Information Technology Kottayam, Kottayam 686635, India.
  • Muaad AY; Department of Studies in Computer Science, Mysore University, Manasagangothri, Mysore 570006, India.
  • Hayat MAB; M.A.H. Inter College, Deoria 274408, India.
  • Bin Heyat MB; IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China.
  • Mehrotra R; Department of Examination and Analysis, Amity University, Noida 201303, India.
  • Akhtar F; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Hussein HS; Electrical Engineering Department, Faculty of Engineering, King Khalid University, Abha 61411, Saudi Arabia.
  • Vargas DLR; Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81528, Egypt.
  • Castilla ÁK; Higher Polytechnic School, Universidad Europea del Atlántico, Isabel Torres, 39011 Santander, Spain.
  • Díez IT; Department of Engineering and Projects, Universidad Internacional Iberoamericana, Campeche 24560, Mexico.
  • Khan S; Facultade de Engenharias, Universidade Internacional do Cuanza, Cuito EN250, Angola.
Sensors (Basel) ; 23(13)2023 Jul 02.
Article in En | MEDLINE | ID: mdl-37447939

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 / Masks Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 / Masks Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: India