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2020 – today
- 2024
[j60]Lucélia Cunha da Rocha Santos
, Sarita Mazzini Bruschi, Paulo Sergio Lopes de Souza, Jó Ueyama, Alyson de Jesus dos Santos, Jezreel Souto Barbosa:
Performance analysis of a Vehicular Ad Hoc network Using LoRa technology and IoT devices in Amazon Rivers. Ad Hoc Networks 152: 103301 (2024)- [j59]Caetano Mazzoni Ranieri, Thaís Luiza Donega e Souza, Marislei Nishijima, Bhaskar Krishnamachari, Jó Ueyama:
A deep learning workflow enhanced with optical flow fields for flood risk estimation. Appl. Intell. 54(7): 5536-5557 (2024) - [j58]Caetano Mazzoni Ranieri, Angelo V. K. Foletto, Rodrigo Dutra Garcia, Saulo N. Matos, Maria M. G. Medina, Leandro Soriano Marcolino, Jó Ueyama:
Water level identification with laser sensors, inertial units, and machine learning. Eng. Appl. Artif. Intell. 127(Part A): 107235 (2024) - [j57]Rodrigo Dutra Garcia, Junio Cesar Ferreira, Lucas Zanotti, Gowri Sankar Ramachandran, Júlio Cezar Estrella, Jó Ueyama:
An automated decision-making system employing complex networks and blockchain for the decentralized stock market. Expert Syst. Appl. 257: 125131 (2024) - [j56]Lívia Maria Bettini de Miranda, Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Jo Ueyama, Fábio Müller Guerrini:
Blockchain in inter-organizational collaboration: A privacy-preserving voting system for collective decision-making. J. Inf. Secur. Appl. 85: 103837 (2024) - [j55]Saulo N. Matos, Thomás V. B. Pinto, Jacó Domingues, Caetano Mazzoni Ranieri, Kaike S. Albuquerque, Vinicius da Silva Moreira, Ernandes S. Souza, Jó Ueyama, Thiago Antonio M. Euzébio, Gustavo Pessin:
An Evaluation of Iron Ore Characteristics Through Machine Learning and 2-D LiDAR Technology. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c59]Saulo N. Matos, Otávio Ferracioli Coletti, Rafael Zimmer, Fernando Ugucioni Filho, Ricardo C. C. L. de Carvalho, Victor R. da Silva, Jorge L. Franco, Thomás V. B. Pinto, Luiz Guilherme Dias de Barros, Caetano Mazzoni Ranieri, Bruno Eduardo Lopes, Diego F. Silva, Jó Ueyama, Gustavo Pessin:
Machine Learning Techniques for Improving Multiclass Anomaly Detection on Conveyor Belts. I2MTC 2024: 1-6 - [c58]João Pedro Alonso Almeida, Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Jó Ueyama:
POSTER: Towards an Identity Authentication Layer in CBDC Networks using Self-Sovereign Identities. ICBC 2024: 690-692 - 2023
- [j54]Lucas Augusto Vieira Brito, Rodolfo Ipolito Meneguette, Robson E. De Grande, Caetano Mazzoni Ranieri, Jó Ueyama:
FLORAS: urban flash-flood prediction using a multivariate model. Appl. Intell. 53(12): 16107-16125 (2023) - [j53]Rodolfo Ipolito Meneguette, Robson E. De Grande, Jo Ueyama, Geraldo P. Rocha Filho, Edmundo R. M. Madeira:
Vehicular Edge Computing: Architecture, Resource Management, Security, and Challenges. ACM Comput. Surv. 55(2): 4:1-4:46 (2023) - [j52]Luana Okino Sawada, Leandro Yukio Mano, José Rodrigues Torres Neto, Jó Ueyama:
A module-based framework to emotion recognition by speech: a case study in clinical simulation. J. Ambient Intell. Humaniz. Comput. 14(11): 15513-15522 (2023) - [j51]Alef Vinicius Cardoso e Silva, Felipe Taliar Giuntini, Caetano Mazzoni Ranieri, Rodolfo Ipolito Meneguette, Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Bhaskar Krishnamachari, Jó Ueyama:
MADCS: A Middleware for Anomaly Detection and Content Sharing for Blockchain-Based Systems. J. Netw. Syst. Manag. 31(3): 46 (2023) - [c57]Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov:
On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork. AAMAS 2023: 140-142 - [c56]Esteban Wilfredo Vilca Zuñiga, Caetano Mazzoni Ranieri, Liang Zhao, Jó Ueyama, Yu-tao Zhu, Donghong Ji:
Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach. INNS DLIA@IJCNN 2023: 539-548 - [c55]Saulo Neves Matos, Otávio Ferracioli Coletti, Fernando Ugucioni Filho, Ricardo C. C. L. de Carvalho, Thomás V. B. Pinto, Luiz Guilherme Dias de Barros, Caetano Mazzoni Ranieri, Bruno Eduardo Lopes, Jó Ueyama, Gustavo Pessin:
Evaluating Conveyor Belt Health With Signal Processing Applied to Inertial Sensing. SIoT 2023: 1-5 - 2022
- [j50]Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov:
On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. Auton. Agents Multi Agent Syst. 36(2): 45 (2022) - [j49]Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Jó Ueyama:
Exploiting smart contracts in PBFT-based blockchains: A case study in medical prescription system. Comput. Networks 211: 109003 (2022) - [j48]Thiago Aparecido Gonçalves da Costa, Rodolfo Ipolito Meneguette, Jó Ueyama:
Providing a greater precision of Situational Awareness of urban floods through Multimodal Fusion. Expert Syst. Appl. 188: 115923 (2022) - [j47]Erikson Júlio De Aguiar, Alyson de Jesus dos Santos, Rodolfo Ipolito Meneguette, Robson E. De Grande, Jó Ueyama:
A blockchain-based protocol for tracking user access to shared medical imaging. Future Gener. Comput. Syst. 134: 348-360 (2022) - [j46]Francisco Erivaldo Fernandes Junior, Luis Gustavo Nonato, Jó Ueyama:
A river flooding detection system based on deep learning and computer vision. Multim. Tools Appl. 81(28): 40231-40251 (2022) - [j45]Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Raja Jurdak, Jo Ueyama:
Blockchain-Aided and Privacy-Preserving Data Governance in Multi-Stakeholder Applications. IEEE Trans. Netw. Serv. Manag. 19(4): 3781-3793 (2022) - [c54]Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Raja Jurdak, Jo Ueyama:
A Blockchain-based Data Governance with Privacy and Provenance: a case study for e-Prescription. ICBC 2022: 1-5 - 2021
- [j44]Felipe Taliar Giuntini, Kauê L. de Moraes, Mirela T. Cazzolato, Luziane de Fátima Kirchner, Maria de Jesus Dutra dos Reis, Agma J. M. Traina, Andrew Thomas Campbell, Jó Ueyama:
Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks. IEEE Access 9: 93182-93194 (2021) - [j43]Felipe Taliar Giuntini, Kauê L. de Moraes, Mirela T. Cazzolato, Luziane de Fátima Kirchner, Maria de Jesus Dutra dos Reis, Agma J. M. Traina, Andrew Thomas Campbell, Jó Ueyama:
Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining. IEEE Access 9: 97621-97635 (2021) - [j42]Erikson Júlio De Aguiar, Bruno S. Faiçal, Bhaskar Krishnamachari, Jó Ueyama:
A Survey of Blockchain-Based Strategies for Healthcare. ACM Comput. Surv. 53(2): 27:1-27:27 (2021) - [j41]Alen Costa Vieira, Gabriel Garcia, Rosa Elvira Correa Pabon, Luciano Perdigão Cota, Paulo A. de Souza, Jó Ueyama, Gustavo Pessin:
Improving flood forecasting through feature selection by a genetic algorithm - experiments based on real data from an Amazon rainforest river. Earth Sci. Informatics 14(1): 37-50 (2021) - [j40]Francisco Erivaldo Fernandes Junior, Luis Gustavo Nonato, Caetano Mazzoni Ranieri, Jó Ueyama:
Memory-Based Pruning of Deep Neural Networks for IoT Devices Applied to Flood Detection. Sensors 21(22): 7506 (2021) - [c53]Rodrigo Dutra Garcia, Gabriel Augusto Zutião, Gowri Sankar Ramachandran, Jo Ueyama:
Towards a decentralized e-prescription system using smart contracts. CBMS 2021: 556-561 - [c52]Vinícius Lima, Filipe Andrade Bernardi, Rui Rijo, Jó Ueyama, Domingos Alves:
A Mechanism for Verifying the Integrity and Immutability of Tuberculosis Data Using IOTA Distributed Ledger Technology. dHealth 2021: 130-135 - [i2]Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Raja Jurdak, Jo Ueyama:
A Blockchain-based Data Governance Framework with Privacy Protection and Provenance for e-Prescription. CoRR abs/2112.13956 (2021) - 2020
- [j39]Geraldo P. Rocha Filho, Rodolfo Ipolito Meneguette, José Rodrigues Torres Neto, Alan Valejo, Li Weigang, Jó Ueyama, Gustavo Pessin, Leandro A. Villas:
Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities. Ad Hoc Networks 107: 102265 (2020) - [j38]Heitor Freitas, Bruno S. Faiçal, Alef Vinicius Cardoso e Silva, Jó Ueyama:
Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control. Comput. Electron. Agric. 173: 105387 (2020) - [j37]Geraldo P. Rocha Filho, Rodolfo Ipolito Meneguette, Guilherme Maia, Gustavo Pessin, Vinícius P. Gonçalves, Li Weigang, Jó Ueyama, Leandro A. Villas:
A fog-enabled smart home solution for decision-making using smart objects. Future Gener. Comput. Syst. 103: 18-27 (2020) - [j36]Felipe Taliar Giuntini, Mirela T. Cazzolato, Maria de Jesus Dutra dos Reis, Andrew Thomas Campbell, Agma J. M. Traina, Jó Ueyama:
A review on recognizing depression in social networks: challenges and opportunities. J. Ambient Intell. Humaniz. Comput. 11(11): 4713-4729 (2020) - [j35]Leandro Y. Mano, Bruno S. Faiçal, Vinícius P. Gonçalves, Gustavo Pessin, Pedro Henrique Gomes, André C. P. L. F. de Carvalho, Jó Ueyama:
An intelligent and generic approach for detecting human emotions: a case study with facial expressions. Soft Comput. 24(11): 8467-8479 (2020)
2010 – 2019
- 2019
- [j34]Felipe Taliar Giuntini, Larissa Pires Ruiz, Luziane de Fátima Kirchner, Denise Aparecida Passarelli, Maria de Jesus Dutra dos Reis, Andrew Thomas Campbell, Jo Ueyama:
How Do I Feel? Identifying Emotional Expressions on Facebook Reactions Using Clustering Mechanism. IEEE Access 7: 53909-53921 (2019) - [j33]Geraldo P. R. Filho, Leandro A. Villas, Vinícius P. Gonçalves, Gustavo Pessin, Antonio A. F. Loureiro, Jó Ueyama:
Energy-efficient smart home systems: Infrastructure and decision-making process. Internet Things 5: 153-167 (2019) - [j32]Leandro Y. Mano, Vinícius A. Barros, Luiz Henrique Nunes, Luana Okino Sawada, Júlio Cezar Estrella, Jó Ueyama:
ENLACE: A Combination of Layer-Based Architecture and Wireless Communication for Emotion Monitoring in Healthcare. Mob. Inf. Syst. 2019: 7329187:1-7329187:12 (2019) - [j31]Claudio Correa, Rodolfo Ipolito Meneguette, Patrícia R. Oliveira, Jó Ueyama:
Optimization of Transmission Signal Power through Observation of Congestion in VANets Using the Fuzzy Logic Approach: A Case Study in Highway and Urban Layout. Wirel. Commun. Mob. Comput. 2019: 2605234:1-2605234:23 (2019) - [j30]José Rodrigues Torres Neto, Geraldo P. R. Filho, Leandro Y. Mano, Leandro A. Villas, Jó Ueyama:
Exploiting Offloading in IoT-Based Microfog: Experiments with Face Recognition and Fall Detection. Wirel. Commun. Mob. Comput. 2019: 2786837:1-2786837:13 (2019) - [c51]Eduardo C. de Carvalho, Bruno V. Ferreira, Geraldo P. R. Filho, Pedro Henrique Gomes, Gustavo Medeiros Freitas, Patrícia A. Vargas, Jó Ueyama, Gustavo Pessin:
Towards a Smart Fault Tolerant Indoor Localization System Through Recurrent Neural Networks. IJCNN 2019: 1-7 - [i1]Tiago V. Ortiz, Bruno Yuji Lino Kimura, Jó Ueyama, Valério Rosset:
Experimental Security Analysis of Controller Software in SDNs: A Review. CoRR abs/1906.09546 (2019) - 2018
- [j29]Geraldo P. R. Filho, Leandro A. Villas, Heitor Freitas, Alan Valejo, Daniel L. Guidoni, Jó Ueyama:
ResiDI: Towards a smarter smart home system for decision-making using wireless sensors and actuators. Comput. Networks 135: 54-69 (2018) - [j28]Gustavo Furquim, Geraldo P. R. Filho, Roozbeh Jalali, Gustavo Pessin, Richard W. Pazzi, Jó Ueyama:
How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data. Sensors 18(3): 907 (2018) - [j27]Luiz Fernando Ferreira Gomes de Assis, Flávio E. A. Horita, Edison Pignaton de Freitas, Jó Ueyama, João Porto de Albuquerque:
A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management. Sensors 18(6): 1689 (2018) - [c50]Heitor Freitas, Lucas Tomazela, Alef Vinicius Cardoso e Silva, Jó Ueyama:
Using Unmanned Aerial Vehicle to Spread Natural Enemies for Biological Control in Dynamic Environments. CLEI 2018: 299-308 - [c49]Geraldo P. R. Filho, José Rodrigues Torres Neto, Alan Valejo, Rodolfo Ipolito Meneguette, Leandro A. Villas, Jó Ueyama:
Um Sistema de Controle Neuro-Fog para Infraestruturas Residenciais via Objetos Inteligentes. SBRC 2018: 351-364 - [c48]Erikson Júlio De Aguiar, Bruno S. Faiçal, Jó Ueyama, Glauco Carlos Silva, André Luís Andrade Menolli:
Análise de Sentimento em Redes Sociais para a Língua Portuguesa Utilizando Algoritmos de Classificação. SBRC 2018: 393-406 - [c47]Adriano B. de Sousa, José Rodrigues Torres Neto, Geraldo P. R. Filho, Jó Ueyama:
Uma plataforma de IoT para integração de dispositivos baseada em nuvem com Apache Kafka. SBRC Companion 2018 - 2017
- [j26]Bruno V. Ferreira, Eduardo Carvalho, Mylena R. Ferreira, Patrícia A. Vargas, Jó Ueyama, Gustavo Pessin:
Exploiting the Use of Convolutional Neural Networks for Localization in Indoor Environments. Appl. Artif. Intell. 31(3): 279-287 (2017) - [j25]José Rodrigues Torres Neto, Azzedine Boukerche, Roberto Sadao Yokoyama, Daniel L. Guidoni, Rodolfo Ipolito Meneguette, Jo Ueyama, Leandro A. Villas:
Performance evaluation of unmanned aerial vehicles in automatic power meter readings. Ad Hoc Networks 60: 11-25 (2017) - [j24]Vinícius Pereira Gonçalves, Eduardo P. Costa, Alan Valejo, Geraldo P. R. Filho, Thienne M. Johnson, Gustavo Pessin, Jó Ueyama:
Enhancing intelligence in multimodal emotion assessments. Appl. Intell. 46(2): 470-486 (2017) - [j23]Bruno S. Faiçal, Heitor Freitas, Pedro Henrique Gomes, Leandro Y. Mano, Gustavo Pessin, André C. P. L. F. de Carvalho, Bhaskar Krishnamachari, Jó Ueyama:
An adaptive approach for UAV-based pesticide spraying in dynamic environments. Comput. Electron. Agric. 138: 210-223 (2017) - [j22]Felipe Taliar Giuntini, Delano Medeiros Beder, Jó Ueyama:
Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection application. Int. J. Distributed Sens. Networks 13(4) (2017) - [j21]Vinícius Pereira Gonçalves, Gabriel T. Giancristofaro, Geraldo P. R. Filho, Thienne M. Johnson, Valéria Carvalho, Gustavo Pessin, Vânia Paula de Almeida Néris, Jó Ueyama:
Assessing users' emotion at interaction time: a multimodal approach with multiple sensors. Soft Comput. 21(18): 5309-5323 (2017) - [j20]Vinícius Pereira Gonçalves, Vânia Paula de Almeida Néris, Sibelius Seraphini, Teresa C. M. Dias, Gustavo Pessin, Thienne M. Johnson, Jó Ueyama:
Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly. Univers. Access Inf. Soc. 16(1): 129-149 (2017) - [j19]Jó Ueyama, Bruno S. Faiçal, Leandro Y. Mano, Guilherme Bayer, Gustavo Pessin, Pedro Henrique Gomes:
Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: Reflections on their long-term deployment in Brazil. Comput. Environ. Urban Syst. 65: 41-52 (2017) - 2016
- [j18]Leandro Y. Mano, Bruno S. Faiçal, Luis Hideo Vasconcelos Nakamura, Pedro Henrique Gomes, Giampaolo L. Libralon, Rodolfo Ipolito Meneguette, Geraldo P. R. Filho, Gabriel T. Giancristofaro, Gustavo Pessin, Bhaskar Krishnamachari, Jó Ueyama:
Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition. Comput. Commun. 89-90: 178-190 (2016) - [j17]Bruno S. Faiçal, Gustavo Pessin, Geraldo P. R. Filho, André Carlos Ponce de Leon Ferreira de Carvalho, Pedro Henrique Gomes, Jó Ueyama:
Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields: An Approach for Dynamic Environments. Int. J. Artif. Intell. Tools 25(1): 1660003:1-1660003:19 (2016) - [j16]Gustavo Furquim, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama:
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. Neural Comput. Appl. 27(5): 1129-1141 (2016) - [c46]Luiz Fernando Ferreira Gomes de Assis, Lucas P. Behnck, Dionísio Doering, Edison Pignaton de Freitas, Carlos Eduardo Pereira, Flávio Eduardo Aoki Horita, Jó Ueyama, João Porto de Albuquerque:
Dynamic Sensor Management: Extending Sensor Web for Near Real-Time Mobile Sensor Integration in Dynamic Scenarios. AINA 2016: 303-310 - [c45]Eduardo Carvalho, Bruno S. Faiçal, Geraldo P. R. Filho, Patrícia A. Vargas, Jo Ueyama, Gustavo Pessin:
Exploiting the use of machine learning in two different sensor network architectures for indoor localization. ICIT 2016: 652-657 - [c44]Bruno S. Faiçal, Jo Ueyama, André C. P. L. F. de Carvalho:
The Use of Autonomous UAVs to Improve Pesticide Application in Crop Fields. MDM (Workshops) 2016: 32-33 - 2015
- [j15]Flávio Eduardo Aoki Horita, João Porto de Albuquerque, Lívia Castro Degrossi, Eduardo M. Mendiondo, Jó Ueyama:
Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks. Comput. Geosci. 80: 84-94 (2015) - [j14]Leandro A. Villas, Daniel L. Guidoni, Guilherme Maia, Richard W. Pazzi, Jó Ueyama, Antonio A. F. Loureiro:
An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle. Wirel. Networks 21(2): 485-498 (2015) - [c43]Gustavo Furquim, Gustavo Pessin, Pedro Henrique Gomes, Eduardo M. Mendiondo, Jó Ueyama:
A Distributed Approach to Flood Prediction Using a WSN and ML: A Comparative Study of ML Techniques in a WSN Deployed in Brazil. IDEAL 2015: 485-492 - [c42]Rodolfo Ipolito Meneguette, Geraldo P. R. Filho, Luiz F. Bittencourt, Jo Ueyama, Bhaskar Krishnamachari, Leandro A. Villas:
Enhancing intelligence in inter-vehicle communications to detect and reduce congestion in urban centers. ISCC 2015: 1-6 - [c41]Geraldo P. R. Filho, Jo Ueyama, Bruno S. Faiçal, Gustavo Pessin, Claudio M. de Farias, Richard W. Pazzi, Daniel L. Guidoni, Leandro A. Villas:
An Energy-Aware System for Decision-Making in a Residential Infrastructure Using Wireless Sensors and Actuators. NCA 2015: 9-16 - [c40]Renan Pereira Araujo, Fernanda Sumika Hojo de Souza, Jo Ueyama, Leandro Aparecido Villas, Daniel Ludovico Guidoni:
On the Analysis of Newman & Watts and Kleinberg Small World Models in Wireless Sensor Networks. NCA 2015: 17-21 - [c39]Claudio Correa, Jo Ueyama, Rodolfo Ipolito Meneguette, Leandro A. Villas, Geraldo P. R. Filho:
Ad hoc vehicular: Exploratory evaluation of a vehicular ad hoc network in Urban and highway settings. NTMS 2015: 1-5 - [c38]Diulie J. Freitas, Tiago B. Marcondes, Luis Hideo Vasconcelos Nakamura, Jo Ueyama, Pedro Henrique Gomes, Rodolfo Ipolito Meneguette:
Combining cell phones and WSNs for preventing accidents in smart-homes with disabled people. NTMS 2015: 1-5 - [c37]José Rodrigues Torres Neto, Daniel Ludovico Guidoni, Jo Ueyama, Leandro Aparecido Villas:
An Efficient Solution to perform Automatic Meter Reading using an Unmanned Aerial Vehicle. SBRC 2015: 91-99 - [c36]Geraldo P. R. Filho, Jo Ueyama, Bruno S. Faiçal, Daniel L. Guidoni, Leandro A. Villas:
ResiDI: An Intelligent Decision Platform for Residential Infrastructure Using Wireless Sensors and Actuators. SBRC 2015: 237-245 - 2014
- [j13]Jo Ueyama, Heitor Freitas, Bruno S. Faiçal, Geraldo P. R. Filho, Pedro H. Fini, Gustavo Pessin, Pedro Henrique Gomes, Leandro A. Villas:
Exploiting the use of unmanned aerial vehicles to provide resilience in wireless sensor networks. IEEE Commun. Mag. 52(12): 81-87 (2014) - [j12]Gustavo Pessin, Jefferson R. Souza, Fernando Santos Osório, Bruno S. Faiçal, Geraldo P. R. Filho, Jó Ueyama, Patrícia A. Vargas, Denis Fernando Wolf:
Investigation on the evolution of a robotic controller for autonomous vehicle navigation. J. Intell. Fuzzy Syst. 27(6): 3047-3058 (2014) - [j11]Bruno S. Faiçal, Fausto G. Costa, Gustavo Pessin, Jó Ueyama, Heitor Freitas, Alexandre Colombo, Pedro H. Fini, Leandro A. Villas, Fernando Santos Osório, Patrícia A. Vargas, Torsten Braun:
The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides. J. Syst. Archit. 60(4): 393-404 (2014) - [j10]Geraldo P. R. Filho, Jó Ueyama, Leandro A. Villas, Alex R. Pinto, Vinícius Pereira Gonçalves, Gustavo Pessin, Richard W. Pazzi, Torsten Braun:
NodePM: A Remote Monitoring Alert System for Energy Consumption Using Probabilistic Techniques. Sensors 14(1): 848-867 (2014) - [c35]Gustavo Furquim, Filipe Neto, Gustavo Pessin, Jo Ueyama, João Porto de Albuquerque, Maria Clara Fava, Eduardo M. Mendiondo, Vladimir C. B. de Souza, Desislava C. Dimitrova, Torsten Braun:
Combining Wireless Sensor Networks and Machine Learning for Flash Flood Nowcasting. AINA Workshops 2014: 67-72 - [c34]Bruno S. Faiçal, Gustavo Pessin, Geraldo P. R. Filho, Gustavo Furquim, André C. P. L. F. de Carvalho, Jó Ueyama:
Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields. EANN 2014: 49-58 - [c33]Gustavo Furquim, Rodrigo Mello, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama:
An Accurate Flood Forecasting Model Using Wireless Sensor Networks and Chaos Theory: A Case Study with Real WSN Deployment in Brazil. EANN 2014: 92-102 - [c32]Bruno S. Faiçal, Gustavo Pessin, Geraldo P. R. Filho, André C. P. L. F. de Carvalho, Gustavo Furquim, Jo Ueyama:
Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields. ICTAI 2014: 527-533 - [c31]Daniel L. Guidoni, Fernanda S. H. Souza, Jo Ueyama, Leandro A. Villas:
Topological routing for Heterogeneous Wireless Sensor Networks. ISCC 2014: 1-6 - [c30]Flávio E. A. Horita, Maria Clara Fava, Eduardo M. Mendiondo, Jairo Rotava, Vladimir C. B. de Souza, Jo Ueyama, João Porto de Albuquerque:
AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring. ISCRAM 2014 - [c29]Claudio Correa, Jo Ueyama, Rodolfo Ipolito Meneguette, Leandro Aparecido Villas:
VANets: An Exploratory Evaluation in Vehicular Ad Hoc Network for Urban Environment. NCA 2014: 45-49 - [c28]Gustavo Pessin, Fernando Santos Osório, Jó Ueyama, Denis F. Wolf, Renan Cipriano Moioli, Patrícia A. Vargas:
Self-localisation in indoor environments combining learning and evolution with wireless networks. SAC 2014: 661-666 - [c27]Cristiano B. Cardoso, Daniel Ludovico Guidoni, Guilherme Maia, Jo Ueyama, Antonio A. F. Loureiro, Leandro A. Villas:
An Energy Consumption Aware Solution for the 3D Localization and Synchronization Problems in WSNs. SBRC 2014: 376-385 - 2013
- [j9]Gustavo Pessin, Fernando Santos Osório, Jefferson R. Souza, Jó Ueyama, Fausto G. Costa, Denis F. Wolf, Desislava C. Dimitrova, Torsten Braun, Patrícia Amâncio Vargas:
Investigation on the Evolution of an Indoor robotic Localization System Based on Wireless Networks. Appl. Artif. Intell. 27(8): 743-758 (2013) - [j8]Regina Borges de Araujo, Carlos H. C. Ribeiro, Damla Turgut, Jo Ueyama, Torsten Braun:
Deploying Real-Life WSN Applications: Challenges, Solutions, and Future Directions. Int. J. Distributed Sens. Networks 9 (2013) - [j7]Delano Medeiros Beder, Jó Ueyama, João Porto de Albuquerque, Marcos Lordello Chaim:
FlexFT: A Generic Framework for Developing Fault-Tolerant Applications in the Sensor Web. Int. J. Distributed Sens. Networks 9 (2013) - [j6]Gustavo Pessin, Daniel O. Sales, Maurício Acconcia Dias, Rafael Luiz Klaser, Denis F. Wolf, Jó Ueyama, Fernando Santos Osório, Patrícia A. Vargas:
Swarm intelligence and the quest to solve a garbage and recycling collection problem. Soft Comput. 17(12): 2311-2325 (2013) - [c26]Leandro A. Villas, Azzedine Boukerche, Regina Borges de Araujo, Antonio A. F. Loureiro, Jo Ueyama:
Network partition-aware geographical data dissemination. ICC 2013: 1439-1443 - [c25]Vinícius Pereira Gonçalves, Sibelius Seraphini, Vânia Paula de Almeida Néris, Jó Ueyama:
Flexinterface: A Framework to Provide Flexible Mobile Phone User Interfaces - Addressing the Elderly Diversity. ICEIS (3) 2013: 143-150 - [c24]Vinícius Pereira Gonçalves, Vânia Paula de Almeida Néris, Jó Ueyama, Gabriel T. Giancristofaro, Geraldo P. R. Filho, Sibelius Seraphini:
Emoções na interação humano-computador: um estudo considerando sensores. IHC 2013: 252-255 - [c23]Lívia Castro Degrossi, Guilherme G. Do Amaral, Eduardo S. M. De Vasconcelos, João Porto de Albuquerque, Jo Ueyama:
Using wireless sensor networks in the sensor web for flood monitoring in Brazil. ISCRAM 2013 - [c22]Azzedine Boukerche, Leandro A. Villas, Daniel L. Guidoni, Guilherme Maia, Felipe D. da Cunha, Jo Ueyama, Antonio A. F. Loureiro:
A new solution for the time-space localization problem in wireless sensor network using UAV. DIVANet@MSWiM 2013: 153-160 - [c21]Leandro A. Villas, Daniel L. Guidoni, Jo Ueyama:
3D Localization in Wireless Sensor Networks Using Unmanned Aerial Vehicle. NCA 2013: 135-142 - 2012
- [c20]Gustavo Pessin, Fernando Santos Osório, Jefferson R. Souza, Fausto G. Costa, Jó Ueyama, Denis F. Wolf, Torsten Braun, Patrícia A. Vargas:
Evolving an Indoor Robotic Localization System Based on Wireless Networks. EANN 2012: 61-70 - [c19]Vinícius Pereira Gonçalves, Vânia Paula de Almeida Néris, Jó Ueyama, Sibelius Seraphini:
An Analitic Approach to Evaluate Flexible Mobile User Interfaces for the Elderly. ICEIS (3) 2012: 91-96 - [c18]Fausto G. Costa, Jó Ueyama, Torsten Braun, Gustavo Pessin, Fernando Santos Osório, Patrícia Amâncio Vargas:
The use of unmanned aerial vehicles and wireless sensor network in agricultural applications. IGARSS 2012: 5045-5048 - [c17]Jo Ueyama, Danny Hughes, Paul Grace, Edmundo R. M. Madeira:
Exploiting safe parallelism in Wireless Sensor Networks: A generic and reconfigurable approach. NESEA 2012: 1-7 - 2011
- [j5]Danny Hughes, Jo Ueyama, Eduardo M. Mendiondo, Nelson Matthys, Wouter Horré, Sam Michiels, Christophe Huygens, Wouter Joosen, Ka Lok Man, Sheng-Uei Guan:
A middleware platform to support river monitoring using wireless sensor networks. J. Braz. Comput. Soc. 17(2): 85-102 (2011) - [c16]Gustavo Pessin, Fernando Santos Osório, Jo Ueyama, Jefferson R. Souza, Denis F. Wolf, Torsten Braun, Patrícia Amâncio Vargas:
Evaluating the impact of the number of access points in mobile robots localization using artificial neural networks. COMSWARE 2011: 10 - [c15]Vinícius Pereira Gonçalves, Vânia Paula de Almeida Néris, Marcelo Morandini, Elisa Yumi Nakagawa, Jo Ueyama:
Uma revisão sistemática sobre métodos de avaliação de usabilidade aplicados em software de telefones celulares. IHC+CLIHC 2011: 197-201 - [c14]Vinícius Pereira Gonçalves, Vânia Paula de Almeida Néris, Jó Ueyama:
Interação de idosos com celulares: flexibilidade para atender a diversidade. IHC+CLIHC 2011: 343-352 - [c13]Delano M. Beder, Jo Ueyama, Marcos Lordello Chaim:
A generic policy-free framework for fault-tolerant systems: Experiments on WSNs. NESEA 2011: 1-7 - 2010
- [j4]Daniel Hughes, Klaas Thoelen, Wouter Horré, Nelson Matthys, Javier del Cid, Sam Michiels, Christophe Huygens, Wouter Joosen, Jo Ueyama:
Building Wireless Sensor Network Applications with LooCI. Int. J. Mob. Comput. Multim. Commun. 2(4): 38-64 (2010) - [j3]Jo Ueyama, Edmundo R. M. Madeira, François Taïani, Raphael Y. de Camargo, Paul Grace, Geoff Coulson:
Exploiting a Generic Approach to Construct Component-Based Systems Software in Linux Environments. Int. J. Softw. Eng. Knowl. Eng. 20(6): 843-873 (2010) - [c12]Nelson Matthys, Christophe Huygens, Danny Hughes, Jo Ueyama, Sam Michiels, Wouter Joosen:
Policy-Driven Tailoring of Sensor Networks. S-CUBE 2010: 20-35
2000 – 2009
- 2009
- [c11]Jo Ueyama, Vítor P. V. Pinto, Edmundo R. M. Madeira, Paul Grace, Thienne M. M. Jonhson, Raphael Y. de Camargo:
Exploiting a generic approach for constructing mobile device applications. COMSWARE 2009: 12 - [c10]Pedro Javier del Cid, Danny Hughes, Jo Ueyama, Sam Michiels, Wouter Joosen:
DARMA: adaptable service and resource management for wireless sensor networks. MidSens 2009: 1-6 - 2008
- [j2]Geoff Coulson, Gordon S. Blair, Paul Grace, François Taïani, Ackbar Joolia, Kevin Lee, Jo Ueyama, Thirunavukkarasu Sivaharan:
A generic component model for building systems software. ACM Trans. Comput. Syst. 26(1): 1:1-1:42 (2008) - [c9]Jo Ueyama, Edmundo Roberto Mauro Madeira, Paul Grace:
FlexPar: Reconfigurable Middleware for Parallel Environments. ISORC 2008: 312-316 - 2007
- [c8]Jó Ueyama, François Taïani, Geoff Coulson, Edmundo R. M. Madeira, Paul Grace:
Component-based System Software: A Generic Approach. SBES 2007: 113-129 - 2005
- [b1]Jó Ueyama:
A run time component model for building system software. Lancaster University, UK, 2005 - 2004
- [c7]Geoff Coulson, Gordon S. Blair, Paul Grace, Ackbar Joolia, Kevin Lee, Jo Ueyama:
A component model for building systems software. IASTED Conf. on Software Engineering and Applications 2004: 684-689 - [c6]Jo Ueyama, Stefan Schmid, Geoff Coulson, Gordon S. Blair, Antônio Tadeu A. Gomes, Ackbar Joolia, Kevin Lee:
A Re-configurable Component Model for Programmable Nodes. ICDCS Workshops 2004: 375-380 - [c5]Kevin Lee, Geoff Coulson, Gordon S. Blair, Ackbar Joolia, Jo Ueyama:
Towards a generic programming model for network processors. ICON 2004: 504-510 - 2003
- [j1]Geoff Coulson, Gordon S. Blair, David Hutchison, Ackbar Joolia, Kevin Lee, Jo Ueyama, Antônio Tadeu A. Gomes, Yimin Ye:
NETKIT: a software component-based approach to programmable networking. Comput. Commun. Rev. 33(5): 55-66 (2003) - [c4]Jo Ueyama, Geoff Coulson, Gordon S. Blair, Stefan Schmid, Antônio Tadeu A. Gomes, Ackbar Joolia, Kevin Lee:
A Globally-Applied Component Model for Programmable Networking. IWAN 2003: 202-214 - [c3]Geoff Coulson, Gordon S. Blair, Antônio Tadeu A. Gomes, Ackbar Joolia, Kevin Lee, Jo Ueyama, Irvin Ye:
Reflective Middleware-based Programmable Networking. Middleware Workshops 2003: 115-119 - 2001
- [c2]Jo Ueyama, Edmundo R. M. Madeira:
An Automated Negotiation Model for Electronic Commerce. ISADS 2001: 29-38 - [c1]Jo Ueyama, Edmundo R. M. Madeira:
Using XML for Electronic Catalogs. Workshop on Information Integration on the Web 2001: 43-50
Coauthor Index
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Geraldo P. R. Filho
aka: Geraldo P. Rocha Filho
aka: Geraldo P. Rocha Filho
Vinícius P. Gonçalves 0001
aka: Vinícius Pereira Gonçalves
aka: Vinícius Pereira Gonçalves
Daniel L. Guidoni
aka: Daniel Ludovico Guidoni
aka: Daniel Ludovico Guidoni
Edmundo Roberto Mauro Madeira
aka: Edmundo R. M. Madeira
aka: Edmundo R. M. Madeira
Patrícia Amâncio Vargas
aka: Patrícia A. Vargas
aka: Patrícia A. Vargas
Leandro A. Villas
aka: Leandro Aparecido Villas
aka: Leandro Aparecido Villas
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