An advanced AI-based lightweight two-stage underwater structural damage detection model-Reference-Cited by-同舟云学术

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An advanced AI-based lightweight two-stage underwater structural damage detection model

Published:2024-10 Issue: Volume:62 Page:102553
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Ye Xijun,Luo Kanhui,Wang Hanmin^ORCID,Zhao Yinghao,Zhang Jinwen,Liu Airong

Publisher

Elsevier BV

Reference54 articles.

1. A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure;Koch;Adv. Eng. Inf.,2015

2. Utilization of remote sensing data for bridge condition in operational decision support;Endsley,2012

3. Concrete crack detection method based on optical fiber sensing network and microbending principle;Wu;Saf. Sci.,2019

4. Wilde, K., & Rucka, M. (2015). Ultrasound monitoring for evaluation of damage in reinforced concrete. Bulletin of the Polish Academy of Sciences: Technical Sciences, 65-75-65-75.

5. Bridge crack detection based on improved single shot multi-box detector;Lu;PLoS One,2022

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1. Visualization analysis of concrete crack detection in civil engineering infrastructure based on knowledge graph;Case Studies in Construction Materials;2024-12

2. Enhancement of underwater dam crack images using multi-feature fusion;Automation in Construction;2024-11

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