Prediction of Typhoon Track and Intensity Using a Generative Adversarial Network With Observational and Meteorological Data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: 10.1109/ACCESS.2022.3172301
- Event
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Veröffentlichung
- (where)
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Aachen
- (who)
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Universitätsbibliothek der RWTH Aachen
- (when)
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2022
- Creator
- DOI
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10.18154/RWTH-2022-05400
- URN
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urn:nbn:de:101:1-2022060403492785285977
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:36 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Rüttgers, Mario
- Jeon, Soohwan
- Lee, Sangseung
- You, Donghyun
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2022
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