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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
Evolving an indoor robotic localization system based on wireless networks
Evolving an indoor robotic localization system based on wireless networks
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Artigo de Congresso 		Adicionar ao Meu Espaço

Evolving an indoor robotic localization system based on wireless networks

Gustavo Pessin Fernando Santos Osório; Jefferson R Souza (Jefferson Rodrigo de Souza); Fausto G Costa (Fausto Guzzo da Costa); Jó Ueyama; Denis Fernando Wolf; Torsten Braun; Patrícia A Vargas (Vargas, Patrícia Amâncio); International Conference Engineering Applications of Neural Networks - EANN 2012 (13. 2012 London, UK)

Communications in Computer and Information Science Berlin : Springer-Verlag v. 311, p. 61-70, 2012

Heidelberg Springer-Verlag 2012

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2313447 ) e outros locais(Acessar)

3
A fault-tolerant indoor localization system with recurrent neural networks
A fault-tolerant indoor localization system with recurrent neural networks
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A fault-tolerant indoor localization system with recurrent neural networks

Eduardo Carvalho (Eduardo Costa de Carvalho) Bruno V Ferreira (Bruno Victor de Mesquita Ferreira); Geraldo P. R Filho (Geraldo Pereira Rocha Filho); Jó Ueyama; Gustavo Pessin; International Conference on Artificial Neural Networks - ICANN (26. 2017 Alghero, Italy)

Lecture Notes in Computer Science Cham : Springer v. 10614, p. 761-762, 2017

Cham Springer Nature Switzerland AG 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2898777 )(Acessar)

4
An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle
An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle
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An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle

Leandro Villas (Leandro Aparecido Villas) Daniel L Guidoni (Daniel Ludovico Guidoni); Guilherme Maia (João Guilherme Maia de Menezes); Richard W Pazzi (Richard Werner Nelem Pazzi); Jó Ueyama; Antonio A. F Loureiro (Antonio Alfredo Ferreira Loureiro)

Wireless Networks Berlin : Springer v. 21, n. 2, p. 485-498, fev 2015

Berlin 2015

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2680776 )(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
Memory-based pruning of deep neural networks for IoT devices applied to flood detection
Memory-based pruning of deep neural networks for IoT devices applied to flood detection
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Memory-based pruning of deep neural networks for IoT devices applied to flood detection

Francisco Erivaldo Fernandes Junior Luis Gustavo Nonato; Caetano Mazzoni Ranieri; Jó Ueyama

Sensors Basel : MDPI v. 21, n. 22, p. 1-18, 2021

Basel 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3049890 )(Acessar)

7
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)

8
A practical evaluation of smartphone application on mesh networks
A practical evaluation of smartphone application on mesh networks
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A practical evaluation of smartphone application on mesh networks

Dalton M Tavares (Dalton Matsuo Tavares) Anelisa P. da Silva (Anelisa Pereira da Silva); Stella J Bachega (Stella Jacyszyn Bachega); Rafael V Aroca (Rafael Vidal Aroca); Jó Ueyama; Glauco Augusto de Paula Caurin; Antônio Carlos de Oliveira Junior; International Conference on Wireless Networks - ICWN 2014 (3. 2014 Bali, Indonésia)

Proceedings Athens, Georgia : CSREA Press, 2014

Athens, Georgia CSREA Press 2014

Acesso online. A biblioteca também possui exemplares impressos.

9
Towards a smart fault tolerant indoor localization system through recurrent neural networks
Towards a smart fault tolerant indoor localization system through recurrent neural networks
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Towards a smart fault tolerant indoor localization system through recurrent neural networks

Eduardo Crevelário de Carvalho Bruno V Ferreira; Geraldo Pereira Rocha Filho; Pedro Henrique Gomes; Gustavo M Freitas; Patricia Amancio Vargas; Jó Ueyama; Gustavo Pessin; International Joint Conference on Neural Networks - IJCNN (2019 Budapest)

Proceedings Piscataway : IEEE, 2019

Piscataway IEEE 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2967607 )(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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