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Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network
Research article (Journal of Pipeline Science and Engineering, 2022) · cited 42× · AI/ML
Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network
Summary
Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network is a scholarly article[1].
Key Facts
Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-augmentation-using-conditional-generative-adversarial-network-cgan-application-for-prediction-of-corrosion-pit-dept
MLA“Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-augmentation-using-conditional-generative-adversarial-network-cgan-application-for-prediction-of-corrosion-pit-dept.
BibTeX@misc{4ortxyz_data-augmentation-using-conditional-generative-adversarial-network-cgan-application-for-prediction-of-corrosion-pit-dept_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network}}, year = {2026}, url = {https://4ort.xyz/entity/data-augmentation-using-conditional-generative-adversarial-network-cgan-application-for-prediction-of-corrosion-pit-dept}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network — https://4ort.xyz/entity/data-augmentation-using-conditional-generative-adversarial-network-cgan-application-for-prediction-of-corrosion-pit-dept (retrieved 2026-05-24)
