Data augmentation using conditional generative adversarial networks: A deep learning-based study on corrosion rate prediction for buried oil and gas pipelines
Min Pang, Zheyuan Zhang, Zhaoming Zhou, Yichang Zhang, Xingchen Liu
Topics & Concepts
CorrosionAdversarial systemGenerative grammarPipeline transportGenerative adversarial networkPetroleum engineeringDeepwater horizonArtificial intelligenceMachine learningComputer scienceDeep learningEngineeringOil spillEnvironmental engineeringMaterials scienceMetallurgyStructural Integrity and Reliability AnalysisInfrastructure Maintenance and MonitoringNon-Destructive Testing Techniques