ATL-Net: Ocean Current Prediction Based on Self-Attention Mechanism and Feature Enhancement-Reference-Cited by-同舟云学术

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ATL-Net: Ocean Current Prediction Based on Self-Attention Mechanism and Feature Enhancement

Published:2024-06-07 Issue: Volume:58 Page:1678-1683
ISSN:
Container-title:2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
language:
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Author:

Sun Qingyu¹,An Yi¹,Yu Xiangjun²,Wu Lin³,Wei Shuang¹

Affiliation:

1. Xinjiang University,School of Electrical Engineering,Urumqi,China,830046

2. Dalian Naval Ship Academy,Department of Military Oceanography and Surveying and Mapping,Dalian,China,110618

3. Dalian University of Technology,School of Control Science and Engineering,Dalian,China,116024

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598401/10598402/10598411.pdf?arnumber=10598411

Reference20 articles.

1. Two decades of current observations in the equatorial Indian Ocean

2. Evaluation of Radial Ocean Surface Currents Derived From Sentinel‐1 IW Doppler Shift Using Coastal Radar and Lagrangian Surface Drifter Observations

3. Ocean Surface Current Observation with a Dual Monopole-Cross-Loop Antenna Array

4. Characteristics of Surface Currents in a Shallow Lagoon–Inlet–Coastal Ocean System Revealed by Surface Drifter Observations

5. On the Reliability of Surface Current Measurements by X-band Marine Radar

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