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Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data
Research article (Results in Engineering, 2025) · cited 33× · AI/ML
Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data
Summary
Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data is a scholarly article[1].
Key Facts
Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-generative-adversarial-networks-for-data-augmentation-to-improve-fault-detection-in-wind-turbines-with-imbala
MLA“Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-generative-adversarial-networks-for-data-augmentation-to-improve-fault-detection-in-wind-turbines-with-imbala.
BibTeX@misc{4ortxyz_leveraging-generative-adversarial-networks-for-data-augmentation-to-improve-fault-detection-in-wind-turbines-with-imbala_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-generative-adversarial-networks-for-data-augmentation-to-improve-fault-detection-in-wind-turbines-with-imbala}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data — https://4ort.xyz/entity/leveraging-generative-adversarial-networks-for-data-augmentation-to-improve-fault-detection-in-wind-turbines-with-imbala (retrieved 2026-05-24)
