Using wireless sensor networks for urban flood risk adaptation in Brazil (2013)
- Authors:
- USP affiliated authors: UEYAMA, JO - ICMC ; MENDIONDO, EDUARDO MARIO - EESC
- Unidades: ICMC; EESC
- Subjects: SISTEMAS DE INFORMAÇÃO; GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS; SEGURANÇA DE REDES; SISTEMAS DISTRIBUÍDOS; PROGRAMAÇÃO CONCORRENTE
- Language: Inglês
- Imprenta:
- Publisher: Universität Heidelberg
- Publisher place: Heidelberg
- Date published: 2013
- Source:
- Título do periódico: GIScience Conference Publications (Geoinformatics)
- Conference titles: Geoinformatik 2013
-
ABNT
ALBUQUERQUE, João Porto de et al. Using wireless sensor networks for urban flood risk adaptation in Brazil. 2013, Anais.. Heidelberg: Universität Heidelberg, 2013. . Acesso em: 24 abr. 2024. -
APA
Albuquerque, J. P. de, Ueyama, J., Mendiondo, E. M., & Souza, V. C. B. de. (2013). Using wireless sensor networks for urban flood risk adaptation in Brazil. In GIScience Conference Publications (Geoinformatics). Heidelberg: Universität Heidelberg. -
NLM
Albuquerque JP de, Ueyama J, Mendiondo EM, Souza VCB de. Using wireless sensor networks for urban flood risk adaptation in Brazil. GIScience Conference Publications (Geoinformatics). 2013 ;[citado 2024 abr. 24 ] -
Vancouver
Albuquerque JP de, Ueyama J, Mendiondo EM, Souza VCB de. Using wireless sensor networks for urban flood risk adaptation in Brazil. GIScience Conference Publications (Geoinformatics). 2013 ;[citado 2024 abr. 24 ] - A middleware platform to support river monitoring using wireless sensor networks
- A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil
- Proposta metodológica para previsões de enchentes com uso de sistemas colaborativos
- Alerta contra inundações
- 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
- A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil
- Combining wireless sensor networks and machine learning for flash flood nowcasting
- AGORA-GeoDash: a geosensor dashboard for real-time flood risk monitoring
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