Turbulence Modeling Through Deep Learning: An In-Depth Study of Wasserstein GANs

Research article (2023 4th International Conference on Smart Electronics and Communication (ICOSEC), 2023) · cited 51× · AI/ML
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Turbulence Modeling Through Deep Learning: An In-Depth Study of Wasserstein GANs

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Turbulence Modeling Through Deep Learning: An In-Depth Study of Wasserstein GANs is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Turbulence Modeling Through Deep Learning: An In-Depth Study of Wasserstein GANs. Retrieved May 24, 2026, from https://4ort.xyz/entity/turbulence-modeling-through-deep-learning-an-in-depth-study-of-wasserstein-gans
MLA “Turbulence Modeling Through Deep Learning: An In-Depth Study of Wasserstein GANs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/turbulence-modeling-through-deep-learning-an-in-depth-study-of-wasserstein-gans.
BibTeX @misc{4ortxyz_turbulence-modeling-through-deep-learning-an-in-depth-study-of-wasserstein-gans_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Turbulence Modeling Through Deep Learning: An In-Depth Study of Wasserstein GANs}}, year = {2026}, url = {https://4ort.xyz/entity/turbulence-modeling-through-deep-learning-an-in-depth-study-of-wasserstein-gans}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Turbulence Modeling Through Deep Learning: An In-Depth Study of Wasserstein GANs — https://4ort.xyz/entity/turbulence-modeling-through-deep-learning-an-in-depth-study-of-wasserstein-gans (retrieved 2026-05-24)

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