Construction-Accident Narrative Classification Using Shallow and Deep Learning-Reference-Cited by-同舟云学术

Construction-Accident Narrative Classification Using Shallow and Deep Learning

Published:2022-09 Issue:9 Volume:148 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Qiao Jianfeng¹^ORCID,Wang Changfeng²,Guan Shuang³,Shuran Lv⁴

Affiliation:

1. Associate Professor, Dept. of Management and Engineering, Capital Univ. of Economics and Business, Fengtai, Beijing 100070, China; Adjunct Professor, Dept. of Beijing Key Laboratory of Megaregions Sustainable Development Modeling, Beijing 100070, China (corresponding author). ORCID: .

2. Professor, Dept. of Economics and Management, Beijing Univ. of Posts and Telecommunications, Haidian, Beijing 100876, China.

3. Graduate Student, Dept. of Economics and Management, Beijing Univ. of Posts and Telecommunications, Haidian, Beijing 100876, China.

4. Professor, Dept. of Management and Engineering, Capital Univ. of Economics and Business, Fengtai, Beijing 100070, China; Adjunct Professor, Dept. of Beijing Key Laboratory of Megaregions Sustainable Development Modeling, Beijing 100070, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0002354

Reference51 articles.

1. Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks

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5. Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model

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