A Digital-Twin and Machine-Learning Framework for Ventilation System Optimization for Capturing Infectious Disease Respiratory Emissions-Reference-Cited by-同舟云学术

A Digital-Twin and Machine-Learning Framework for Ventilation System Optimization for Capturing Infectious Disease Respiratory Emissions

Published:2021-06-05 Issue:6 Volume:28 Page:4317-4329
ISSN:1134-3060
Container-title:Archives of Computational Methods in Engineering
language:en
Short-container-title:Arch Computat Methods Eng

Author:

Zohdi T. I.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11831-021-09609-3.pdf

Reference64 articles.

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3. Downes A, Blunt TP (1878) On the influence of light upon protoplasm. In: Proceedings of the Royal Society of London. 28 (190-195): 199-212. Bibcode:1878RSPS...28..199D. https://doi.org/10.1098/rspl.1878.0109

4. Anderson JG, Rowan NJ, MacGregor SJ, Fouracre RA, Farish O (2000) Inactivation of food-borne enteropathogenic bacteria and spoilage fungi using pulsed-light. IEEE Trans Plasma Sci 28(1):83–88

5. Battelle (2020) Instructions for Healthcare personnel: preparation of compatible N95 respirators for decontamination by the battelle memorial institute using the battelle decontamination system. https://www.fda.gov/media/137032/download

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