An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection

An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection

The COVID-19 pandemic has been infecting the entire world over the past years. To prevent the spread of COVID-19, people have acclimatised to the new normal, which includes working from home, communicating online, and maintaining personal cleanliness. There are numerous tools required to prepare to...

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Bibliographic Details
Main Authors: Sundaravadivazhagan Balasubaramanian, Robin Cyriac, Sahana Roshan, Kulandaivel Maruthamuthu Paramasivam, Boby Chellanthara Jose
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Array
Subjects:
COVID-19
Stacked auto encoder
Principal component analysis
Depth-wise separable convolutional neural network
Machine learning
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S259000562300019X

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