has been cited by the following article(s):
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[1]
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Machine learning applications in nuclear power plant piping inspection: A review of methods, data, and future trends
Annals of Nuclear Energy,
2026
DOI:10.1016/j.anucene.2025.111760
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[2]
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Analysis of Material Loss Behavior According to Long-Term Experiments on LDIE-FAC Multiple Degradation of Carbon Steel Materials
World Journal of Nuclear Science and Technology,
2022
DOI:10.4236/wjnst.2022.121001
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[3]
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Cause Analysis for Wall Thinning of Small-Bore Piping in Nuclear Power Plant by ToSPACE, FLUENT and Theoretical Evaluation
World Journal of Nuclear Science and Technology,
2022
DOI:10.4236/wjnst.2022.123009
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[4]
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Estimation of Elbow Wall Thinning Using Ensemble-Averaged Mel-Spectrogram with ResNet-like Architecture
Sensors,
2022
DOI:10.3390/s22113976
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[5]
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Comparison between FAC Analysis Result Using ToSPACE & CHECWORKS Programs and Experimental Result
World Journal of Nuclear Science and Technology,
2020
DOI:10.4236/wjnst.2020.104014
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