- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-8896
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
ENSO-based tropical cyclone forecasting using CF-ANFIS ; day:29 ; month:3 ; year:2016 ; pages:1-11
Vietnam journal of computer science ; (29.3.2016), 1-11
- Creator
-
Duong, Trong Hai
- Contributor
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Do, Phi Hung
Nguyen, Sy Dzung
Hoang, Minh Hien
SpringerLink (Online service)
- DOI
-
10.1007/s40595-016-0061-5
- URN
-
urn:nbn:de:1111-201603319298
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:01 AM CEST
Data provider
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Associated
- Duong, Trong Hai
- Do, Phi Hung
- Nguyen, Sy Dzung
- Hoang, Minh Hien
- SpringerLink (Online service)
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The contribution of super typhoons to tropical cyclone activity in response to ENSO
Tropical cyclone genesis in the Southern Hemisphere and its relationship with the ENSO
Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding
Atmospheric modes fiddling the simulated ENSO impact on tropical cyclone genesis over the Northwest Pacific
Tropical cyclone boundary layer models
Impact-based forecasting of tropical cyclone-related human displacement to support anticipatory action
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ENSO dataset & comparison of deep learning models for ENSO forecasting
Forecasting tropical cyclone tracks in the northwestern Pacific based on a deep-learning model
Forecasting tropical cyclone tracks in the Northwest Pacific based on a deep-learning model
Modelling Global Tropical Cyclone Wind Footprints
Clustering tropical cyclone genesis on ENSO timescales in the Southwest Pacific
The contribution of super typhoons to tropical cyclone activity in response to ENSO
Tropical cyclone genesis in the Southern Hemisphere and its relationship with the ENSO
Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding
Atmospheric modes fiddling the simulated ENSO impact on tropical cyclone genesis over the Northwest Pacific
Tropical cyclone boundary layer models
Impact-based forecasting of tropical cyclone-related human displacement to support anticipatory action
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ENSO dataset & comparison of deep learning models for ENSO forecasting
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