Defect Quantification with Thermographic Signal Reconstruction and Artificial Neural Networks-Reference-Cited by-同舟云学术

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Defect Quantification with Thermographic Signal Reconstruction and Artificial Neural Networks

Published:2006 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2006 International Conference on Quantitative InfraRed Thermography
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Author:

Benitez Hernan,Ibarra-Castanedo Clemente,Loaiza Humberto,Caicedo Eduardo,Bendada Abdelhakim,Maldague Xavier

Publisher

QIRT Council

Cited by 10 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

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2. Automated Defect Detection in Non-planar Objects Using Deep Learning Algorithms;Journal of Nondestructive Evaluation;2022-01-28

3. Inspection of concrete structures externally reinforced with FRP composites using active infrared thermography: A review;Construction and Building Materials;2021-12

4. Deep and Handcrafted Feature Fusion for Automatic Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging;Russian Journal of Nondestructive Testing;2021-06

5. The Detection and Characterization of Defects in Metal/Non-metal Sandwich Structures by Thermal NDT, and a Comparison of Areal Heating and Scanned Linear Heating by Optical and Inductive Methods;Journal of Nondestructive Evaluation;2021-05-21

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