Comparison of convolutional neural network architectures for face mask detection

In 2020 World Health Organization (WHO) has declared that the Coronaviruses (COVID-19) pandemic is causing a worldwide health disaster. One of the most effective protections for reducing the spread of COVID-19 is by wearing a face mask in densely and close populated areas. In various countries, it h...

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Bibliographic Details
Main Authors: Yahya, Siti Nadia, Ramli, Aizat Faiz, Nordin, Muhammad Noor, Basarudin, Hafiz, Abu, Mohd. Azlan
Format: Article
Language:English
Published: Science and Information Organization 2021
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Online Access:http://eprints.utm.my/id/eprint/96337/1/MohdAzlanAbu2021_ComparisonofConvolutionalNeuralNetworkArchitectures.pdf
http://eprints.utm.my/id/eprint/96337/
http://dx.doi.org/10.14569/IJACSA.2021.0121283
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Institution: Universiti Teknologi Malaysia
Language: English