When climate variables improve the dengue forecasting: a machine learning approach (2024)
- Authors:
- USP affiliated authors: CALDAS, IBERE LUIZ - IF ; PROTACHEVICZ, PAULO RICARDO - IF
- Unidade: IF
- DOI: 10.1140/epjs/s11734-024-01201-7
- Assunto: DENGUE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: European Physical Journal Special Topics A
- Volume/Número/Paginação/Ano: Published Online: 17 June 2024
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
SILVA, Sidney T da et al. When climate variables improve the dengue forecasting: a machine learning approach. European Physical Journal Special Topics A, 2024Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-024-01201-7. Acesso em: 04 ago. 2025. -
APA
Silva, S. T. da, Gabrick, E. C., Protachevicz, P. R., Iarosz, K. C., Caldas, I. L., Batista, A. M., & Kurths, J. (2024). When climate variables improve the dengue forecasting: a machine learning approach. European Physical Journal Special Topics A. doi:10.1140/epjs/s11734-024-01201-7 -
NLM
Silva ST da, Gabrick EC, Protachevicz PR, Iarosz KC, Caldas IL, Batista AM, Kurths J. When climate variables improve the dengue forecasting: a machine learning approach [Internet]. European Physical Journal Special Topics A. 2024 ;[citado 2025 ago. 04 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7 -
Vancouver
Silva ST da, Gabrick EC, Protachevicz PR, Iarosz KC, Caldas IL, Batista AM, Kurths J. When climate variables improve the dengue forecasting: a machine learning approach [Internet]. European Physical Journal Special Topics A. 2024 ;[citado 2025 ago. 04 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7 - Plastic neural network with transmission delays promotes equivalence between function and structure
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Informações sobre o DOI: 10.1140/epjs/s11734-024-01201-7 (Fonte: oaDOI API)
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