Image‐based post‐disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization-Reference-Cited by-同舟云学术

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Image‐based post‐disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization

Published:2018-12-05 Issue:5 Volume:34 Page:415-430
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Liang Xiao¹

Affiliation:

1. Department of Civil, Structural and Environmental EngineeringUniversity at Buffalo, The State University of New York NY USA

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12425

Reference79 articles.

1. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

2. Analysis of Edge-Detection Techniques for Crack Identification in Bridges

3. ASCE Infrastructure Report Card(2017). Retrieved fromhttps://www.infrastructurereportcard.org/

4. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

5. Pattern Recognition and Machine Learning

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