Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Reconstruction of fine-scale turbulence using GAN- and diffusion-based super-resolution models for Urban Air Mobility applications

Bibliographic Data

ID24232686
AuthorsJi-Hye Kim (0000-0003-2822-4383), Sang-Hyun Lee (0000-0002-0406-7814), Ju-Wan Woo (0009-0007-0927-7400), Won Jung (0009-0005-3761-2056), Sunju Lee, Yeji Choi (0000-0002-9053-3964)
Year2026
Pages107978
Publication date2026-10-01
Open AccessNo
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2026.107978
OpenAlexW7221641151
LanguageEN
References cited43

Arecaceae · diffusion models · ESRGAN · generative adversarial networks · latent diffusion models · power spectral density · small-scale turbulence · super-resolution · turbulence spectra · urban air mobility · urban wind field · wind turbine wakes · Advanced Image Processing Techniques · Model Reduction and Neural Networks · Wind and Air Flow Studies

  • Urban air mobility in the built environment

    Open Access•Yuwei Dai, Feiyu Zhu et al.•Sustainable Cities and Society•2025

  • Urban morphology and wind effects on UAV flight risks

    Open Access•Xiaotian Geng, Zhonghua Gou•Sustainable Cities and Society•2026

  • CFD-quality nowcasting for urban air mobility with a deep learning-based emulator

    Open Access•J H Bae, Yelim Lee et al.•Environmental Research Letters•2025

Highly citedNo
Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae