A middleware platform to support river monitoring using wireless sensor networks (2011)
- Authors:
- USP affiliated authors: UEYAMA, JO - ICMC ; MENDIONDO, EDUARDO MARIO - EESC
- Unidades: ICMC; EESC
- DOI: 10.1007/s13173-011-0029-3
- Subjects: SISTEMAS DISTRIBUÍDOS; PROGRAMAÇÃO CONCORRENTE
- Language: Inglês
- Imprenta:
- Publisher place: The Netherlands
- Date published: 2011
- Source:
- Título: Journal of the Brazilian Computer Society
- ISSN: 0104-6500
- Volume/Número/Paginação/Ano: v. 17, n. 2, p. 85-102, out 2011
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
HUGHES, Danny et al. A middleware platform to support river monitoring using wireless sensor networks. Journal of the Brazilian Computer Society, v. 17, n. 2, p. 85-102, 2011Tradução . . Disponível em: https://doi.org/10.1007/s13173-011-0029-3. Acesso em: 28 dez. 2025. -
APA
Hughes, D., Ueyama, J., Mendiondo, E. M., Matthys, N., Horré, W., Michiels, S., et al. (2011). A middleware platform to support river monitoring using wireless sensor networks. Journal of the Brazilian Computer Society, 17( 2), 85-102. doi:10.1007/s13173-011-0029-3 -
NLM
Hughes D, Ueyama J, Mendiondo EM, Matthys N, Horré W, Michiels S, Huygens C, Joosen W, Man KL, Guan S-U. A middleware platform to support river monitoring using wireless sensor networks [Internet]. Journal of the Brazilian Computer Society. 2011 ; 17( 2): 85-102.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/s13173-011-0029-3 -
Vancouver
Hughes D, Ueyama J, Mendiondo EM, Matthys N, Horré W, Michiels S, Huygens C, Joosen W, Man KL, Guan S-U. A middleware platform to support river monitoring using wireless sensor networks [Internet]. Journal of the Brazilian Computer Society. 2011 ; 17( 2): 85-102.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/s13173-011-0029-3 - Using wireless sensor networks for urban flood risk adaptation in Brazil
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- Alerta contra inundações
- A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil
- 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
- An accurate flood forecasting model using wireless sensor networks and chaos theory: a case study with real WSN deployment in Brazil
- Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks
- Combining wireless sensor networks and machine learning for flash flood nowcasting
- AGORA-GeoDash: a geosensor dashboard for real-time flood risk monitoring
- A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil
Informações sobre o DOI: 10.1007/s13173-011-0029-3 (Fonte: oaDOI API)
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