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Improving quality prediction in radial-axial ring rolling using a semi-supervised approach and generative adversarial networks for synthetic data generation
Research article (Production Engineering, 2021) · cited 10× · AI/ML
Improving quality prediction in radial-axial ring rolling using a semi-supervised approach and generative adversarial networks for synthetic data generation
Summary
Improving quality prediction in radial-axial ring rolling using a semi-supervised approach and generative adversarial networks for synthetic data generation is a scholarly article[1].
Key Facts
Improving quality prediction in radial-axial ring rolling using a semi-supervised approach and generative adversarial networks for synthetic data generation's instance of is recorded as scholarly article[2].
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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). Improving quality prediction in radial-axial ring rolling using a semi-supervised approach and generative adversarial networks for synthetic data generation. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-quality-prediction-in-radial-axial-ring-rolling-using-a-semi-supervised-approach-and-generative-adversarial-ne
MLA“Improving quality prediction in radial-axial ring rolling using a semi-supervised approach and generative adversarial networks for synthetic data generation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-quality-prediction-in-radial-axial-ring-rolling-using-a-semi-supervised-approach-and-generative-adversarial-ne.
BibTeX@misc{4ortxyz_improving-quality-prediction-in-radial-axial-ring-rolling-using-a-semi-supervised-approach-and-generative-adversarial-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving quality prediction in radial-axial ring rolling using a semi-supervised approach and generative adversarial networks for synthetic data generation}}, year = {2026}, url = {https://4ort.xyz/entity/improving-quality-prediction-in-radial-axial-ring-rolling-using-a-semi-supervised-approach-and-generative-adversarial-ne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving quality prediction in radial-axial ring rolling using a semi-supervised approach and generative adversarial networks for synthetic data generation — https://4ort.xyz/entity/improving-quality-prediction-in-radial-axial-ring-rolling-using-a-semi-supervised-approach-and-generative-adversarial-ne (retrieved 2026-05-24)
