Enhancing experimental image quality in two-phase bubbly systems with super-resolution using generative adversarial networks-Reference-Cited by-同舟云学术

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Enhancing experimental image quality in two-phase bubbly systems with super-resolution using generative adversarial networks

Published:2024-11 Issue: Volume:180 Page:104952
ISSN:0301-9322
Container-title:International Journal of Multiphase Flow
language:en
Short-container-title:International Journal of Multiphase Flow

Author:

Neves M.C.^ORCID,Filgueiras J.,Kokkinogenis Z.^ORCID,Silva M.C.F.^ORCID,Campos J.B.L.M.,Reis L.P.

Publisher

Elsevier BV

Reference53 articles.

1. GAN-based generation of realistic compressible-flow samples from incomplete data;Abaidi;Comput. & Fluids,2024

2. Computational Fluid Dynamics: An Introduction;Anderson,2009

3. CFD simulations of the aerodynamic drag of two drafting cyclists;Blocken;Comput. & Fluids,2013

4. Super resolution generative adversarial network for velocity fields in large eddy simulations;Bove,2022

5. Machine learning for fluid mechanics;Brunton;Annu. Rev. Fluid Mech.,2020

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