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1
Alerta contra inundações
Alerta contra inundações
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Artigo 		Adicionar ao Meu Espaço

Alerta contra inundações

Jó Ueyama Eduardo Mario Mendiondo

Revista Pesquisa FAPESP São Paulo v. 263, p. 74-75, 01 jan. 2018

São Paulo 2018

Acesso online. A biblioteca também possui exemplares impressos.

2
SDI-GEO-WEB services for research, administration and sharing of environmental data and information of different climate change scenarios at peri-urban river basin scales
SDI-GEO-WEB services for research, administration and sharing of environmental data and information of different climate change scenarios at peri-urban river basin scales
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Artigo de Congresso 		Adicionar ao Meu Espaço

SDI-GEO-WEB services for research, administration and sharing of environmental data and information of different climate change scenarios at peri-urban river basin scales

Werner Leyh Lorena Avelina Rojas Gutierrez; Danielle de Almeida Bressiani; Eduardo Mario Mendiondo; João Porto de Albuquerque; International Seminar on Environmental Planning and Management Urban Responses for Climate Change - Urbenviron 2012 (5. 2012 Brasilia, DF)

Proceedings Brasilia, DF : CEMADEN/MCTI, 2012

Brasilia, DF CEMADEN/MCTI 2012

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2316866 ) e outros locais(Acessar)

3
A distributed approach to flood prediction using a WSN and ML a comparative study of ml techniques in a WSN deployed in Brazil
A distributed approach to flood prediction using a WSN and ML a comparative study of ml techniques in a WSN deployed in Brazil
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A distributed approach to flood prediction using a WSN and ML a comparative study of ml techniques in a WSN deployed in Brazil

Gustavo Furquim (Gustavo Antonio Furquim) Gustavo Pessin; Pedro H Gomes (Pedro Henrique Gomes); Eduardo Mario Mendiondo; Jó Ueyama; International Conference Intelligent Data Engineering and Automated Learning – IDEAL (16. 2015 Wroclaw, Poland

Lecture Notes in Computer Science Cham : Springer, 2015

Cham Springer 2015

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2803570 )(Acessar)

4
Bridging the gap between decision-making and emerging big data sources an application of a model-based framework to disaster management in Brazil
Bridging the gap between decision-making and emerging big data sources an application of a model-based framework to disaster management in Brazil
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Bridging the gap between decision-making and emerging big data sources an application of a model-based framework to disaster management in Brazil

Flávio E. A. Horita João Porto de Albuquerque; Victor Marchezini; Eduardo Mario Mendiondo

Decision Support Systems Amsterdam, Netherlands : Elsevier, 2017 v. 97, p. 12-22, May 2017

Amsterdam, Netherlands 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2846773 )(Acessar)

5
Improving flood forecasting using an input correction method in urban models in poorly gauged areas
Improving flood forecasting using an input correction method in urban models in poorly gauged areas
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Improving flood forecasting using an input correction method in urban models in poorly gauged areas

Maria Clara Fava Maurizio Mazzoleni; Narumi Abe; Eduardo Mario Mendiondo; Dimitri P Solomatine

Hydrological Sciences Journal Oxfordshire : Taylor & Francis, 2020 v. 65, n. 7, p. 1096-1111, mar. 2020

Oxfordshire 2020

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-022245 ) e outros locais(Acessar)

6
Using historical source data to understand urban flood risk a socio-hydrological modelling application at Gregório Creek, Brazil
Using historical source data to understand urban flood risk a socio-hydrological modelling application at Gregório Creek, Brazil
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Using historical source data to understand urban flood risk a socio-hydrological modelling application at Gregório Creek, Brazil

Ana Carolina Sarmento Buarque Namrat Bhattacharya-Mis; Maria Clara Fava; Felipe Augusto Arguello de Souza; Eduardo Mario Mendiondo

Hydrological Sciences Journal Abingdon : Taylor & Francis, 2020 v. 65, n. 7, p. 1075-1083, Apr. 2020

Abingdon 2020

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-022273 ) e outros locais(Acessar)

7
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
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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Artigo 		Adicionar ao Meu Espaço

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

Gustavo Furquim (Gustavo Antonio Furquim) Gustavo Pessin; Bruno S Faiçal (Bruno Squizato Faiçal); Eduardo Mario Mendiondo; Jó Ueyama

Neural Computing and Applications London : Springer v. 27, p. 1129-1141, 2016

London 2016

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-019172 ) e outros locais(Acessar)

8
Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks
Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks
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Artigo 		Adicionar ao Meu Espaço

Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks

Flávio E. A Horita (Flávio Eduardo Aoki Horita) João Porto de Albuquerque; Lívia Castro Degrossi; Eduardo Mario Mendiondo; Jó Ueyama

Computers and Geosciences Amsterdam : Elsevier v. 80, p. 84-94, Jul. 2015

Amsterdam 2015

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-019179 ) e outros locais(Acessar)

9
Flood citizen observatory a crowdsourcing-based approach for flood risk management in Brazil
Flood citizen observatory a crowdsourcing-based approach for flood risk management in Brazil
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Artigo de Congresso 		Adicionar ao Meu Espaço

Flood citizen observatory a crowdsourcing-based approach for flood risk management in Brazil

Lívia Castro Degrossi João Porto de Albuquerque; Maria Clara Fava; Eduardo Mario Mendiondo; International Conference on Software Engineering and Knowledge Engineering - SEKE 2014 (26. 2014 Vancouver, Canada)

Proceedings Skokie : Knowledge Systems Institute Graduate School, 2014

Skokie Knowledge Systems Institute Graduate School 2014

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2496123 )(Acessar)

10
Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring
Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring
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Artigo 		Adicionar ao Meu Espaço

Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring

Camilo Restrepo-Estrada (Camilo Ernesto Restrepo Estrada) Sidgley Camargo de Andrade; Narumi Abe; Maria Clara Fava; Eduardo Mario Mendiondo; João Porto de Albuquerque

Computers and Geosciences Amsterdam : Elsevier v. 111, p. 148-158, Fev. 2018

Amsterdam 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2881434 )(Acessar)

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