Vortex-SegFormer: a transformer-based vortex detection method
The identification of vortices plays a critical role in various domains, such as fluid dynamics, weather forecasting, and engineering systems. Existing vortex detection methods are typically categorized into global, local, and machine learning-based methods. Global methods provide high accuracy but...
Saved in:
Main Author: | Lim, Nicky |
---|---|
Other Authors: | Ke Yiping, Kelly |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175172 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
MetaFormer baselines for vision
by: YU, Weihao, et al.
Published: (2023) -
Vortex breakdown in an unconfined vortical flow
by: Khoo, B.C., et al.
Published: (2014) -
Affective design analysis of explainable artificial intelligence (XAI): A user-centric perspective
by: Bernardo, Ezekiel, et al.
Published: (2023) -
An efficient adaptive vortex particle method for real-time smoke simulation
by: HE, Shengfeng, et al.
Published: (2011) -
Machine learning assisted annotation leveraging large data foundation models
by: Tey, Chin Yi
Published: (2024)