Title |
When climate variables improve the dengue forecasting: a machine learning approach |
|---|---|
Involved |
Sidney T. da Silva (Verfasser)
Enrique C. Gabrick (Verfasser) Paulo R. Protachevicz (Verfasser) Kelly C. Iarosz (Verfasser)
Iberê L. Caldas (Verfasser)
Antonio M. Batista (Verfasser) Jürgen Kurths (Verfasser) SpringerLink (Online service) (Sonstige) |
Published in |
European physical journal special topics 17.6.2024, Seite 1-15 |
Published |
2024 |
Language |
|
Country |
|
Topic |
|
Subject |
Condensed Matter Physics.
Materials Science. Atomic, Molecular and Chemical Physics. Physics and Astronomy.
Measurement Science and Instrumentation.
Classical and Continuum Physics. |
DDC notation |
|
Persistent identifier |
urn:nbn:de:101:1-2408271304544.493820038495 (URN) |
Record ID |
1340312417 |
Please note
The beta version does not yet contain all functions and information of the DNB portal catalogue. If you are missing information or want to order a medium, please visit the page in the DNB portal catalogue via the following link: