MVU-Net: a multi-view U-Net architecture for weakly supervised vortex detection-Reference-Cited by-同舟云学术

MVU-Net: a multi-view U-Net architecture for weakly supervised vortex detection

Published:2022-08-02 Issue:1 Volume:16 Page:1567-1586
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Deng Liang¹²^ORCID,Chen Jianqiang¹²,Wang Yueqing¹²^ORCID,Chen Xinhai³^ORCID,Wang Fang¹²,Liu Jie³

Affiliation:

1. State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang, People's Republic of China

2. Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, People's Republic of China

3. College of Computer, National University of Defense Technology, Changsha, People's Republic of China

Funder

National Natural Science Foundation of China

National Numerical Wind Tunnel Project

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2022.2104930

Reference69 articles.

1. Arthur, D. & Vassilvitskii, S. (2007). K-means++: the Advantages of Careful Seeding K-means++: The advantages of careful seeding. In Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 1027–1035). Society for Industrial and Applied Mathematics (SIAM). https://doi.org/10.1145/1283383.1283494

2. Application of fully convolutional neural networks for feature extraction in fluid flow

3. Vortex Boundary Identification using Convolutional Neural Network

4. An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Supersonic combustion flow field reconstruction based on multi-view domain adaptation generative network in scramjet combustor;Engineering Applications of Artificial Intelligence;2024-10

2. U-net based vortex detection in Bose–Einstein condensates with automatic correction for manually mislabeled data;Scientific Reports;2023-12-02

3. Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

4. An adaptive LIC based geographic flow field visualization method by means of rotation distance;International Journal of Digital Earth;2023-03-13