Real-time forecast of compartment fire and flashover based on deep learning-Reference-Cited by-同舟云学术

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Real-time forecast of compartment fire and flashover based on deep learning

Published:2022-06 Issue: Volume:130 Page:103579
ISSN:0379-7112
Container-title:Fire Safety Journal
language:en
Short-container-title:Fire Safety Journal

Author:

Zhang Tianhang^ORCID,Wang Zilong,Wong Ho Yin^ORCID,Tam Wai Cheong,Huang Xinyan^ORCID,Xiao Fu

Funder

The Hong Kong Polytechnic University Research Institute for Sustainable Urban Development

University Grants Committee Research Grants Council

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Safety, Risk, Reliability and Quality,General Materials Science,General Chemistry,Building and Construction

Reference54 articles.

1. Indoor particles: a review;Wallace;J. Air Waste Manag. Assoc.,1996

2. World Fire Statistics, CTIF, No. 22;Brushlinsky,2016

3. A review of modelling and simulation methods for flashover prediction in confined space fires;Cortés;Appl. Sci.,2020

4. Defining flashover for fire hazard calculations: Part II;Babrauskas;Fire Saf. J.,2003

5. Major fire disasters involving flashover;Rasbash;Fire Saf. J.,1991

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