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Development of a convolutional neural network model to pred..:
Shen, Y.
;
Zhou, W.
International Journal of Pressure Vessels and Piping. 207 (2024) - p. 105123 , 2024
Link:
https://doi.org/10.1016/j.ijpvp.2023.105123
RT Journal T1 <Title>Development of a convolutional neural network model to predict the size and location of corrosion defects on pipelines based on magnetic flux leakage signals</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ijpvp.2023.105123&Exemplar=1&LAN=DE A1 Shen, Y. A1 Zhou, W. PB Elsevier BV YR 2024 SN 0308-0161 JF International Journal of Pressure Vessels and Piping VO 207 SP 105123 LK http://dx.doi.org/https://doi.org/10.1016/j.ijpvp.2023.105123 DO https://doi.org/10.1016/j.ijpvp.2023.105123 SF ELIB - SuUB Bremen
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