Detecting Structural Components of Building Engineering Based on Deep-Learning Method-Reference-Cited by-同舟云学术

Detecting Structural Components of Building Engineering Based on Deep-Learning Method

Published:2020-02 Issue:2 Volume:146 Page:04019097
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Hou Xueliang¹,Zeng Ying²,Xue Jingguo³^ORCID

Affiliation:

1. Professor, School of Economics and Management, North China Electric Power Univ., Beijing 102206, China.

2. Master, School of Economics and Management, North China Electric Power Univ., Beijing 102206, China.

3. Master, School of Economics and Management, North China Electric Power Univ., Beijing 102206, China (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001751

Reference43 articles.

1. Big data in civil engineering

2. BJJS (Beijing Municipal Commission of Housing and Urban-Rural Development). 2013. “Notice on promoting the use of remote video monitoring system at construction site [EB/OL].” Accessed October 25 2018. http://www.bjjs.gov.cn/bjjs/xxgk/gfxwj/zfcxjswwj/315361/index.shtml.

3. Visual Pattern Recognition Models for Remote Sensing of Civil Infrastructure

4. Infrastructure computer vision

5. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

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