TY  - JOUR 
AU  - Benifa, J. V. Bibal
AU  - Chola, Channabasava
AU  - Muaad, Abdullah Y.
AU  - Hayat, Mohd Ammar Bin
AU  - Bin Heyat, Md Belal
AU  - Mehrotra, Rajat
AU  - Akhtar, Faijan
AU  - Hussein, Hany S.
AU  - Ramírez Vargas, Debora Libertad
AU  - Kuc Castilla, Ángel
AU  - Torre Díez, Isabel de la
AU  - Khan, Salabat
PY  - 2023
SN  - 1424-8220
UR  - https://uvadoc.uva.es/handle/10324/66511
AB  - A new artificial intelligence-based approach is proposed by developing a deep learning (DL) model for identifying the people who violate the face mask protocol in public places. To achieve this goal, a private dataset was created, including different...
LA  - eng
PB  - MDPI
KW  - Artificial intelligence
KW  - COVID-19
KW  - Machine learning
KW  - Aprendizaje automático
KW  - Masks
KW  - Mascarillas
KW  - Pandemics
KW  - Pandemias
KW  - SARS-CoV-2
KW  - Electronic surveillance
KW  - Vigilancia electrónica
KW  - Public health
KW  - Medicine
KW  - Public health
KW  - Electronic data processing
KW  - Procesamiento de datos
TI  - FMDNet: An efficient system for face mask detection based on lightweight model during COVID-19 pandemic in public areas
DO  - 10.3390/s23136090
ER  -