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A scalable framework for smart COVID surveillance in the workplace using Deep Neural Networks and cloud computing
A smart and scalable system is required to schedule various machine learning applications to control pandemics like COVID‐19 using computing infrastructure provided by cloud and fog computing. This paper proposes a framework that considers the use case of smart office surveillance to monitor workpla...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209860/ https://www.ncbi.nlm.nih.gov/pubmed/34177036 http://dx.doi.org/10.1111/exsy.12704 |