Predicting the effects of environmental parameters on the spatio-temporal distribution of the droplets carrying coronavirus in public transport – A machine learning approach-Reference-Cited by-同舟云学术

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

Published:2022-02 Issue: Volume:430 Page:132761
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Mesgarpour Mehrdad,Abad Javad Mohebbi Najm,Alizadeh Rasool,Wongwises Somchai,Doranehgard Mohammad Hossein,Jowkar Saeed,Karimi Nader

Funder

University of Glasgow

National Science and Technology Development Agency

Engineering and Physical Sciences Research Council

King Mongkut's University of Technology Thonburi

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Environmental Chemistry,General Chemistry

Reference89 articles.

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3. Physics of virus transmission by speaking droplets;Netz;Proc. Natl. Acad. Sci.,2020

4. On air-borne infection. Study II. Droplets and droplet nuclei.;Wells;Am. J. Hygiene,1934

5. The flow physics of COVID-19;Mittal;J. Fluid Mech.,2020

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