Building Fire Hazard Predictions Using Machine Learning

Eugene Yujun Fu; Wai Cheong Tam; Tianhang Zhang; Xinyan Huang

doi:10.1007/978-3-031-48161-1_16

Building Fire Hazard Predictions Using Machine Learning

Eugene Yujun Fu
, Wai Cheong Tam
, Tianhang Zhang
, Xinyan Huang

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research

Abstract

In the period of 2015 to 2019, US fire departments responded to an estimated average of 346,800 home structure fires per year.

Original language	Others/Unknown
Title of host publication	Intelligent Building Fire Safety and Smart Firefighting
Editors	Xinyan Huang, Wai Cheong Tam
Place of Publication	Cham
Publisher	Springer Nature Switzerland AG
Pages	387-414
Number of pages	28
ISBN (Print)	978-3-031-48161-1
DOIs	https://doi.org/10.1007/978-3-031-48161-1_16
Publication status	Published - Jan 2024

More information

10.1007/978-3-031-48161-1_16

https://doi.org/10.1007/978-3-031-48161-1_16

Cite this

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title = "Building Fire Hazard Predictions Using Machine Learning",

abstract = "In the period of 2015 to 2019, US fire departments responded to an estimated average of 346,800 home structure fires per year.",

author = "Fu, \{Eugene Yujun\} and Tam, \{Wai Cheong\} and Tianhang Zhang and Xinyan Huang",

year = "2024",

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language = "Others/Unknown",

isbn = "978-3-031-48161-1",

pages = "387--414",

editor = "Xinyan Huang and Tam, \{Wai Cheong\}",

booktitle = "Intelligent Building Fire Safety and Smart Firefighting",

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}

Building Fire Hazard Predictions Using Machine Learning. / Fu, Eugene Yujun; Tam, Wai Cheong; Zhang, Tianhang et al.
Intelligent Building Fire Safety and Smart Firefighting. ed. / Xinyan Huang; Wai Cheong Tam. Cham: Springer Nature Switzerland AG, 2024. p. 387-414.

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research

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