A Deep Belief network and Least Squares Support Vector Machine Method for Quantitative Evaluation of Defects in Titanium Sheet Using Eddy Current Scan Image
Author:
Publisher
Frontiers Media SA
Subject
Materials Science (miscellaneous)
Reference40 articles.
1. Applications of titanium sheets in modern building construction;Adamus;Adv. Magn. Reson.,2014
2. Engineering musculoskeletal tissue interfaces;Bayrak;Front. Mater.,2018
3. Greedy layer-wise training of deep networks;Bengio,2007
4. Estimation of micro-crack lengths using eddy current c-scan images and neural-wavelet transform;Bodruzzaman,2008
5. Analytical model of tilted driver-pickup coils for eddy current nondestructive evaluation;Cao;Chin. Phys. B,2018
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A novel one-dimensional convolutional neural network with parallel attention for fault diagnosis of rigid guides;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-06-27
2. Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks;IEEE Transactions on Instrumentation and Measurement;2021
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