has been cited by the following article(s):
[1]
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Steel Material Microstructure Characterization using Knowledge Distillation Based Transformer Neural Networks for Data-Efficient Ultrasonic NDE System
2022 IEEE International Ultrasonics Symposium (IUS),
2022
DOI:10.1109/IUS54386.2022.9958564
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[2]
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Material Texture Recognition using Ultrasonic Images with Transformer Neural Networks
2021 IEEE International Conference on Electro Information Technology (EIT),
2021
DOI:10.1109/EIT51626.2021.9491908
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[3]
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Intelligent Ultrasonic Systems for Material Texture Recognition using Data-Efficient Neural Networks
2021 IEEE International Ultrasonics Symposium (IUS),
2021
DOI:10.1109/IUS52206.2021.9593756
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[4]
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Deep Convolutional Neural Networks Applied to Ultrasonic Images for Material Texture Recognition
2020 IEEE International Ultrasonics Symposium (IUS),
2020
DOI:10.1109/IUS46767.2020.9251734
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[5]
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Multilayer Perceptron Neural Networks for Grain Size Estimation and Classification
2019 IEEE International Ultrasonics Symposium (IUS),
2019
DOI:10.1109/ULTSYM.2019.8925713
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[6]
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Ultrasonic target echo detection using neural network
2017 IEEE International Conference on Electro Information Technology (EIT),
2017
DOI:10.1109/EIT.2017.8053371
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[7]
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Ultrasonic flaw detection based on temporal and spectral signals applied to neural network
2017 IEEE International Ultrasonics Symposium (IUS),
2017
DOI:10.1109/ULTSYM.2017.8091947
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