A Probabilistic Crowd–AI Framework for Reducing Uncertainty in Postdisaster Building Damage Assessment-Reference-Cited by-同舟云学术

A Probabilistic Crowd–AI Framework for Reducing Uncertainty in Postdisaster Building Damage Assessment

Published:2023-09 Issue:9 Volume:149 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Cheng Chih-Shen¹^ORCID,Khajwal Asim B.²,Behzadan Amir H.³,Noshadravan Arash⁴^ORCID

Affiliation:

1. Ph.D. Candidate, Zachry Dept. of Civil and Environmental Engineering, Texas A&M Univ., College Station, TX 77843 (corresponding author). ORCID: .

2. Ph.D. Candidate, Zachry Dept. of Civil and Environmental Engineering, Texas A&M Univ., College Station, TX 77843.

3. Professor, Dept. of Construction Science, Texas A&M Univ., College Station, TX 77843.

4. Assistant Professor, Zachry Dept. of Civil and Environmental Engineering, Texas A&M Univ., College Station, TX 77843. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://ascelibrary.org/doi/pdf/10.1061/JENMDT.EMENG-6992

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