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  1. 1
    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 by Haile Woldesellasse, Solomon Tesfamariam

    Published 2023-03-01
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  2. 2
    General corrosion vulnerability assessment using a Bayesian belief network model incorporating experimental corrosion data for X60 pipe steel

    General corrosion vulnerability assessment using a Bayesian belief network model incorporating experimental corrosion data for X60 pipe steel by Solomon Tesfamariam, Haile Woldesellasse, Min Xu, Edouard Asselin

    Published 2021-09-01
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