Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Promoting AI Trustworthiness to Predict the Impacts of Internal Fires on Buildings

Published

Author(s)

Qi Tong, Hongqiang Fang, Yihai Bao, Wai Cheong Tam
Proceedings Title
Fire Resilience of Civil Infrastructure conference
Conference Dates
November 12-13, 2024
Conference Location
Reston, VA, US

Keywords

Artificial intelligence, Internal fires, Structural response, TEVV

Citation

Tong, Q. , FANG, H. , Bao, Y. and Tam, W. (2024), Promoting AI Trustworthiness to Predict the Impacts of Internal Fires on Buildings, Fire Resilience of Civil Infrastructure conference, Reston, VA, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=958501 (Accessed December 3, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created November 12, 2024, Updated October 16, 2024