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Building Fire Hazard Predictions Using Machine Learning

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

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

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Building Fire Hazard Predictions Using Machine Learning

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

Abstract

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

Building Fire Hazard Predictions Using Machine Learning

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

Abstract

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

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Dokumentinformationen

Titel:

Building Fire Hazard Predictions Using Machine Learning

Weitere Titelangaben:

Digital Innovations in

Beteiligte:

Huang, Xinyan (Herausgeber:in) / Tam, Wai Cheong (Herausgeber:in) / Fu, Eugene Yujun (Autor:in) / Tam, Wai Cheong (Autor:in) / Zhang, Tianhang (Autor:in) / Huang, Xinyan (Autor:in)

Erschienen in:

Intelligent Building Fire Safety and Smart Firefighting ; Kapitel: 16 ; 387-414

Digital Innovations in Architecture, Engineering and Construction

Erscheinungsdatum:

26.01.2024

Format / Umfang:

28 pages

ISBN:

978-3-031-48161-1 , 978-3-031-48160-4

ISSN:

2731-7277 , 2731-7269

DOI:

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

Medientyp:

Aufsatz/Kapitel (Buch)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Engineering , Fire Science, Hazard Control, Building Safety , Building Construction and Design , Artificial Intelligence , Cyber-physical systems, IoT , Professional Computing

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