Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network

Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network

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Bibliographic Details
Main Author:	Xingye HUANG
Format:	Article
Language:	zho
Published:	Editorial Office of Oil & Gas Storage and Transportation 2024-11-01
Series:	You-qi chuyun
Online Access:	https://yqcy.pipechina.com.cn/cn/article/doi/
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