RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1687-1499
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction ; volume:2021 ; number:1 ; day:26 ; month:8 ; year:2021 ; pages:1-18 ; date:12.2021
EURASIP journal on wireless communications and networking / European Association for Speech, Signal and Image Processing ; 2021, Heft 1 (26.8.2021), 1-18, 12.2021

Creator
Zhu, Linqian
Liu, Qi
Liu, Xiaodong
Zhang, Yonghong
Contributor
SpringerLink (Online service)

DOI
10.1186/s13638-021-02044-9
URN
urn:nbn:de:101:1-2021111120112999707793
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:35 AM CEST

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Associated

  • Zhu, Linqian
  • Liu, Qi
  • Liu, Xiaodong
  • Zhang, Yonghong
  • SpringerLink (Online service)

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