Construction of an Intelligent Identification System for Concrete Bridge Cracks by Integrating Machine Learning and Neural Network Models-Reference-Cited by-同舟云学术

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Construction of an Intelligent Identification System for Concrete Bridge Cracks by Integrating Machine Learning and Neural Network Models

Published:2023-09-22 Issue: Volume:35 Page:44-50
ISSN:
Container-title:2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
language:
Short-container-title:

Author:

Zhang Zanpeng¹,Xu Meng²,Luo Lingyu³,Hong Zhong⁴

Affiliation:

1. China Merchants Chongqing Communications Technology research and Design Institute Co., Ltd.,Chongqing,China,400067

2. China Merchants Chongqing Highway Engineering Testing Center Co., Ltd.,Chongqing,China,400067

3. Chongqing Jiangbei District Heji Primary School,Chongqing,China,400000

4. Tibet Autonomous Region key highway construction project management center,Lhasa,China,850000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10554366/10554383/10554575.pdf?arnumber=10554575

Reference14 articles.

1. Weakly supervised network based intelligent identification of cracks in asphalt concrete bridge deck

2. Automatic Detection and Measurement of Concrete Bridge Bottom Cracks;Xiao;Automation & Instrumentation,2019

3. Research on Intelligent Evaluation System of Load-bearing Capacity of Existing Reinforced Concrete Bridge

4. Cortec MCI empowers concrete bridge repairs to last longer;Schmidt;Highway Engineering in Australia: Transport Infrastructure.Traffic Management. Intelligent Transport Systems,2021

5. Pixel-level intelligent recognition of concrete cracks based on DRACNN

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