Cargando…
A Digital-Twin and Machine-Learning Framework for Ventilation System Optimization for Capturing Infectious Disease Respiratory Emissions
The pandemic of 2019 has led to an enormous interest in all aspects of modeling and simulation of infectious diseases. One central issue is the redesign and deployment of ventilation systems to mitigate the transmission of infectious diseases, produced by respiratory emissions such as coughs. This w...
Autor principal: | Zohdi, T. I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8179093/ https://www.ncbi.nlm.nih.gov/pubmed/34108839 http://dx.doi.org/10.1007/s11831-021-09609-3 |
Ejemplares similares
-
Effects of B.1.1.7 and B.1.351 on COVID-19 Dynamics: A Campus Reopening Study
por: Linka, Kevin, et al.
Publicado: (2021) -
A Multiscale Approach for the Numerical Simulation of Turbulent Flows with Droplets
por: Gimenez, Juan M., et al.
Publicado: (2021) -
High-Fidelity Simulation of Pathogen Propagation, Transmission and Mitigation in the Built Environment
por: Löhner, Rainald, et al.
Publicado: (2021) -
Mathematical Modeling and Numerical Simulation of Atherosclerosis Based on a Novel Surgeon’s View
por: Soleimani, Meisam, et al.
Publicado: (2021) -
Risk Assessment of Infection by Airborne Droplets and Aerosols at Different Levels of Cardiovascular Activity
por: Wedel, Jana, et al.
Publicado: (2021)