An accurate flood forecasting model using wireless sensor networks and chaos theory: a case study with real WSN deployment in Brazil (2014)
- Authors:
- USP affiliated authors: MELLO, RODRIGO FERNANDES DE - ICMC ; MENDIONDO, EDUARDO MARIO - EESC ; UEYAMA, JO - ICMC
- Unidades: ICMC; EESC
- DOI: 10.1007/978-3-319-11071-4_9
- Subjects: SISTEMAS EMBUTIDOS; PROGRAMAÇÃO CONCORRENTE; APRENDIZADO COMPUTACIONAL; ANÁLISE DE SÉRIES TEMPORAIS; TEORIA DO CAOS
- Language: Inglês
- Imprenta:
- Source:
- Título: Communications in Computer and Information Science
- ISSN: 1865-0929
- Volume/Número/Paginação/Ano: v. 459, p. 92-102, 2014
- Conference titles: International Conference on Engineering Applications of Neural Networks - EANN
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FURQUIM, Gustavo et al. An accurate flood forecasting model using wireless sensor networks and chaos theory: a case study with real WSN deployment in Brazil. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-11071-4_9. Acesso em: 12 fev. 2026. , 2014 -
APA
Furquim, G., Mello, R. F. de, Pessin, G., Faiçal, B. S., Mendiondo, E. M., & Ueyama, J. (2014). An accurate flood forecasting model using wireless sensor networks and chaos theory: a case study with real WSN deployment in Brazil. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-319-11071-4_9 -
NLM
Furquim G, Mello RF de, Pessin G, Faiçal BS, Mendiondo EM, Ueyama J. An accurate flood forecasting model using wireless sensor networks and chaos theory: a case study with real WSN deployment in Brazil [Internet]. Communications in Computer and Information Science. 2014 ; 459 92-102.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1007/978-3-319-11071-4_9 -
Vancouver
Furquim G, Mello RF de, Pessin G, Faiçal BS, Mendiondo EM, Ueyama J. An accurate flood forecasting model using wireless sensor networks and chaos theory: a case study with real WSN deployment in Brazil [Internet]. Communications in Computer and Information Science. 2014 ; 459 92-102.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1007/978-3-319-11071-4_9 - Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory: a case study involving a real wireless sensor network deployment in Brazil
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Informações sobre o DOI: 10.1007/978-3-319-11071-4_9 (Fonte: oaDOI API)
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