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Research article

First published 2022-11

Prediction of fatigue crack propagation based on dynamic Bayesian network

Wei Wang, Yanfang Yang, Mengzhen Li [...]

Advances in Mechanical Engineering

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Research article

First published 2020-9

Quantitative evaluation of surface crack in ferromagnetic materials based on Bayesian network in eddy current testing

Jing Song, Yanzhen Zhao

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 2019-12

Structural crack detection using deep learning–based fully convolutional networks

Xiao-Wei Ye, Tao Jin, Peng-Yu Chen

Advances in Structural Engineering

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Research article

First published 2023-9

A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices

Jun Chen, Ye Liu, Jia-ao Hou

Structural Health Monitoring

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Research article

First published 2023-1

Feature pyramid network with self-guided attention refinement module for crack segmentation

Jeremy CH Ong, Stephen LH Lau, Mohd-ZP Ismadi [...]

Structural Health Monitoring

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Research article

First published 2015-11

Automatic detection of cracked rotors combining multiresolution analysis and artificial neural networks

C Castejón, JC García-Prada, MJ Gómez [...]

Journal of Vibration and Control

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Research article

First published 2021-5

Concrete crack detection and 3D mapping by integrated convolutional neural networks architecture

Krisada Chaiyasarn, Apichat Buatik, Suched Likitlersuang

Advances in Structural Engineering

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Research article

First published 2026

CrackGAN: Generative adversarial networks based predictive visualization mechanism of crack propagation in RC bridge elements

Waleed Ahmed Khan, Raafe Bin Asad, Farrukh Arif [...]

Advances in Structural Engineering

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Research article

First published 2021-3

Imaging-based crack detection on concrete surfaces using You Only Look Once network

Jianghua Deng, Ye Lu, Vincent Cheng-Siong Lee

Structural Health Monitoring

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Research article

First published 2023-1

Quantitative detection of combined cracks based on artificial neural network and eddy current testing signals

Li Wang, Zhenmao Chen

International Journal of Applied Electromagnetics and Mechanics

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