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1
Exploiting self-organization and fault tolerance in wireless sensor networks a case study on wildfire detection application
Exploiting self-organization and fault tolerance in wireless sensor networks a case study on wildfire detection application
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Exploiting self-organization and fault tolerance in wireless sensor networks a case study on wildfire detection application

Felipe Taliar Giuntini Delano Medeiros Beder; Jó Ueyama

International Journal of Distributed Sensor Networks Thousand Oaks, CA : SAGE Publications v. 13, n. 4, 1-16, 2017

Thousand Oaks, CA 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2843698 )(Acessar)

2
Dynamic sensor management extending sensor web for near real-time mobile sensor integration in dynamic scenarios
Dynamic sensor management extending sensor web for near real-time mobile sensor integration in dynamic scenarios
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Dynamic sensor management extending sensor web for near real-time mobile sensor integration in dynamic scenarios

Luiz Fernando F. G. de Assis (Luiz Fernando Ferreira Gomes de Assis) Flávio E. A Horita (Flávio Eduardo Aoki Horita); Jó Ueyama; Lucas P Behnck (Lucas Pluceno Behnck); Dionísio Doering; Edison P. de Freitas (Edison Pignaton de Freitas); Carlos E Pereira (Carlos Eduardo Pereira); João Porto de Albuquerque; IEEE International Conference on Advanced Information Networking and Applications – AINA 2016 (30. 2016 Crans-Montana, Switzerland)

Proceedings Los Alamitos, CA : IEEE, 2016

Los Alamitos, CA IEEE 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2776002 )(Acessar)

3
FlexFT a generic framework for developing fault-tolerant applications in the sensor web
FlexFT a generic framework for developing fault-tolerant applications in the sensor web
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FlexFT a generic framework for developing fault-tolerant applications in the sensor web

Delano Medeiros Beder Jó Ueyama; João Porto de Albuquerque; Marcos Lordello Chaim

International Journal of Distributed Sensor Networks New York, NY : Hindawi Publishing Corporation v. 2013, Article ID 385892, p. 385892-1 - 385892-12, Jan. 2013

New York, NY 2013

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2341782 )(Acessar)

4
A service-oriented Middleware for integrated management of crowdsourced and sensor data streams in disaster management
A service-oriented Middleware for integrated management of crowdsourced and sensor data streams in disaster management
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A service-oriented Middleware for integrated management of crowdsourced and sensor data streams in disaster management

Luiz Fernando F. G. de Assis (Luiz Fernando Ferreira Gomes de Assis) Flávio E. A Horita (Flávio Eduardo Aoki Horita); Edison P. de Freitas (Edison Pignaton de Freitas); Jó Ueyama; João Porto de Albuquerque

Sensors Basel, Switzerland : MDPI AG v. 18, n. 6, artigo 1689, p. 1-27, Mai. 2018

Basel, Switzerland 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2891648 )(Acessar)

5
Exploiting safe parallelism in wireless sensor networks a generic and reconfigurable approach
Exploiting safe parallelism in wireless sensor networks a generic and reconfigurable approach
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Exploiting safe parallelism in wireless sensor networks a generic and reconfigurable approach

Jó Ueyama Danny Hughes; Paul Grace; Edmundo Roberto Mauro Madeira; IEEE International Conference on Networked Embedded Systems for Every Application - NESEA (3. 2012 Liverpool, UK)

Proceedings Piscataway : IEEE, 2012

Piscataway IEEE 2012

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2962850 )(Acessar)

6
A wireless sensor network based green marketplace for electrical appliances
A wireless sensor network based green marketplace for electrical appliances
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A wireless sensor network based green marketplace for electrical appliances

Danny Hughes Ka Lok Man; Kevin Lee; Jó Ueyama; International Conference on Future Networks (2. 2010 Sanya)

Proceedings Los Alamitos : IEEE Computer Society, 2010

Los Alamitos IEEE Computer Society 2010

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-1836044 ) 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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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
On the analysis of newman & watts and kleinberg small world models in wireless sensor networks
On the analysis of newman & watts and kleinberg small world models in wireless sensor networks
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On the analysis of newman & watts and kleinberg small world models in wireless sensor networks

Renan P Araújo (Renan Pereira Araújo) Fernanda S. H Souza (Fernanda Sumika Hojo de Souza); Jó Ueyama; Leandro Villas (Leandro Aparecido Villas); Daniel L Guidoni (Daniel Ludovico Guidoni); IEEE International Symposium on Network Computing and Applications - NCA (14. 2015 Boston, Massachusetts, USA)

Proceedings Piscataway, NJ : IEEE, 2015

Piscataway, NJ IEEE 2015

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2806937 )(Acessar)

9
Exploiting the use of machine learning in two different sensor network architectures for indoor localization
Exploiting the use of machine learning in two different sensor network architectures for indoor localization
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Exploiting the use of machine learning in two different sensor network architectures for indoor localization

Eduardo Carvalho (Eduardo Costa de Carvalho) Bruno S Faiçal (Bruno Squizato Faiçal); Geraldo P. R Filho (Geraldo Pereira Rocha Filho); Patrícia A Vargas (Patrícia Amâncio Vargas); Jó Ueyama; Gustavo Pessin; IEEE International Conference on Industrial Technology - ICIT (2016 Taipei, Taiwan)

Proceedings Piscataway : IEEE, 2016

Piscataway IEEE 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2778434 )(Acessar)

10
Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems reflections on their long-term deployment in Brazil
Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems reflections on their long-term deployment in Brazil
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Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems reflections on their long-term deployment in Brazil

Jó Ueyama Bruno S Faiçal; Leandro Y Mano (Leandro Yukio Mano Alves); Guilherme Bayer (Guilherme Sotto Maior Bayer); Gustavo Pessin; Pedro H Gomes

Computers, Environment and Urban Systems Amsterdam : Elsevier v. 65, p. 41-52, Set. 2017

Amsterdam 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2840382 )(Acessar)

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