Enhancing Kármán Vortex Street Detection via Auxiliary Networks Incorporating Key Atmospheric Parameters
Kármán vortex streets are quintessential phenomena in fluid dynamics, manifested by the periodic shedding of vortices as airflow interacts with obstacles. The genesis and characteristics of these vortex structures are significantly influenced by various atmospheric parameters, including temperature,...
Saved in:
| Main Authors: | Yihan Zhang, Zhi Zhang, Qiao Su, Chaoyue Wu, Yuqi Zhang, Daoyi Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/16/3/338 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unraveling deep-learning detection of atmospheric Kármán vortex streets: dataset, baseline benchmarking, and optimization
by: Yihan Zhang, et al.
Published: (2025-07-01) -
Numerical Study of the Passive Motion of Airfoils in Porous Media
by: J. Tang, et al.
Published: (2025-06-01) -
Solution of the Föppl – von Kármán equations for square plates
by: Alexander V. Digilov, et al.
Published: (2024-10-01) -
Dynamic vortex characteristics and their contribution to heat transfer enhancement in the channel of a serrated finned tube heat exchanger
by: Zhi-Min Lin, et al.
Published: (2025-09-01) -
Investigation on the Coupling of Vortex Beam Into Parabolic Fiber in Turbulent Atmosphere
by: Lin Yu, et al.
Published: (2019-01-01)