Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning

The COVID-19 pandemic has caused significant harm globally, prompting us to prioritize prevention measures. Effective hand-washing is one of the most critical and straightforward measures that can help prevent the spread of this virus. Medical staff’s hands are considered a major source of hospital...

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Bibliographic Details
Published in:	Neural computing & applications Vol. 35; no. 36; pp. 25097 - 25106
Main Authors:	Ma, Chendong, Song, Jun, Xu, Yibo, Fan, Hongwei, Liu, Xiaoran, Wu, Xing, Luo, Yang, Sun, Tuo, Xie, Jiemin
Format:	Journal Article
Language:	English
Published:	London Springer London 01.12.2023 Springer Nature B.V
Subjects:	Artificial Intelligence Computational Biology/Bioinformatics Computational grids Computational Science and Engineering Computer Science Computer vision COVID-19 Data Mining and Knowledge Discovery Deep learning Disease control Edge computing Hospitals Image processing Image Processing and Computer Vision Pattern recognition Prevention Probability and Statistics in Computer Science Real time S.I.: Evolutionary Computation based Methods and Applications for Data Processing Special Issue on Evolutionary Computation based Methods and Applications for Data Processing Viral diseases Viruses Washing COVID-19 Environment exposure Identification framework Edge-computing Deep learning network
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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