When climate variables improve the dengue forecasting: a machine learning approach
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
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When climate variables improve the dengue forecasting: a machine learning approach ; day:17 ; month:6 ; year:2024 ; pages:1-15
European physical journal special topics ; (17.6.2024), 1-15
- Urheber
-
Silva, Sidney T. da
Gabrick, Enrique C.
Protachevicz, Paulo R.
Iarosz, Kelly C.
Caldas, Iberê L.
Batista, Antonio M.
Kurths, Jürgen
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1140/epjs/s11734-024-01201-7
- URN
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urn:nbn:de:101:1-2408271304544.493820038495
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:34 MESZ
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Beteiligte
- Silva, Sidney T. da
- Gabrick, Enrique C.
- Protachevicz, Paulo R.
- Iarosz, Kelly C.
- Caldas, Iberê L.
- Batista, Antonio M.
- Kurths, Jürgen
- SpringerLink (Online service)
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