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eNauka >  Results >  ARU$^{2}$-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection
Title: ARU$^{2}$-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection
Authors: Geng, Junmin; Gao, He; Huang, Baoxiang; Radenkovic, Milena  ; Chen, Ge
Issue Date: 2024
Publication: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ISSN: 1939-1404 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Search Idenfier
Type: Article
Collation: vol. 17 str. 11997-12007
DOI: 10.1109/jstars.2024.3419175
WoS-ID: 001270275700012
Scopus-ID: 2-s2.0-85197658948
URI: https://enauka.gov.rs/handle/123456789/1040597
Metadata source: (Preuzeto iz CrossRef-a) Radenković, Milena
M-category: 
21aM21a

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