Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Prediction of the spread of Corona-virus carrying droplets in a bus - A computational based artificial intelligence approach
por: Mesgarpour, Mehrdad, et al.
Publicado: (2021) -
Urea-Self Powered Biosensors: A Predictive Evolutionary Model for Human Energy Harvesting
por: Mohebbi Najm Abad, Javad, et al.
Publicado: (2023) -
Non-Equilibrium Thermodynamics of Micro Technologies
por: Torabi, Mohsen, et al.
Publicado: (2019) -
On the Response of Ultralean Combustion of CH(4)/H(2) Blends in a Porous Burner to Fluctuations in
Fuel Flow—an Experimental Investigation
por: Habib, Rabeeah, et al.
Publicado: (2021) -
How to Encourage Best Peer Reviewers: An Empiric Approach
por: Mahian, Omid, et al.
Publicado: (2015)