Predicting the effects of environmental parameters on the spatio-temporal distribution of the droplets carrying coronavirus in public transport – A machine learning approach

Human-generated droplets constitute the main route for the transmission of coronavirus. However, the details of such transmission in enclosed environments are yet to be understood. This is because geometrical and environmental parameters can immensely complicate the problem and turn the conventional...

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Detalles Bibliográficos
Autores principales: Mesgarpour, Mehrdad, Abad, Javad Mohebbi Najm, Alizadeh, Rasool, Wongwises, Somchai, Doranehgard, Mohammad Hossein, Jowkar, Saeed, Karimi, Nader
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495004/
https://www.ncbi.nlm.nih.gov/pubmed/34642569
http://dx.doi.org/10.1016/j.cej.2021.132761

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495004/
https://www.ncbi.nlm.nih.gov/pubmed/34642569
http://dx.doi.org/10.1016/j.cej.2021.132761

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