An Automated Negotiation Model for Electronic Commerce. - Jo Ueyama; Edmundo R. M. Madeira (ISADS, 2001)

Using XML for Electronic Catalogs. - Jo Ueyama; Edmundo R. M. Madeira (Workshop on Information Integration on the Web, 2001)

A Globally-Applied Component Model for Programmable Networking. - Jo Ueyama; Geoff Coulson; Gordon S. Blair; Stefan Schmid 002; Antônio Tadeu A. Gomes; Ackbar Joolia; Kevin Lee (IWAN, 2003)

Reflective Middleware-based Programmable Networking. - Geoff Coulson; Gordon S. Blair; Antônio Tadeu A. Gomes; Ackbar Joolia; Kevin Lee; Jo Ueyama; Irvin Ye (Middleware Workshops, 2003)

NETKIT: a software component-based approach to programmable networking. - Geoff Coulson; Gordon S. Blair; David Hutchison 001; Ackbar Joolia; Kevin Lee; Jo Ueyama; Antônio Tadeu A. Gomes; Yimin Ye (Comput. Commun. Rev., 2003)

A component model for building systems software. - Geoff Coulson; Gordon S. Blair; Paul Grace; Ackbar Joolia; Kevin Lee; Jo Ueyama (IASTED Conf. on Software Engineering and Applications, 2004)

A Re-configurable Component Model for Programmable Nodes. - Jo Ueyama; Stefan Schmid 002; Geoff Coulson; Gordon S. Blair; Antônio Tadeu A. Gomes; Ackbar Joolia; Kevin Lee (ICDCS Workshops, 2004)

Towards a generic programming model for network processors. - Kevin Lee; Geoff Coulson; Gordon S. Blair; Ackbar Joolia; Jo Ueyama (ICON, 2004)

A run time component model for building system software. - Jó Ueyama (2005)

Component-based System Software: A Generic Approach. - Jó Ueyama; François Taïani; Geoff Coulson; Edmundo R. M. Madeira; Paul Grace (SBES, 2007)

FlexPar: Reconfigurable Middleware for Parallel Environments. - Jo Ueyama; Edmundo Roberto Mauro Madeira; Paul Grace (ISORC, 2008)

A generic component model for building systems software. - Geoff Coulson; Gordon S. Blair; Paul Grace; François Taïani; Ackbar Joolia; Kevin Lee; Jo Ueyama; Thirunavukkarasu Sivaharan (ACM Trans. Comput. Syst., 2008)

Exploiting a generic approach for constructing mobile device applications. - Jo Ueyama; Vítor P. V. Pinto; Edmundo R. M. Madeira; Paul Grace; Thienne M. M. Jonhson; Raphael Y. de Camargo (COMSWARE, 2009)

DARMA: adaptable service and resource management for wireless sensor networks. - Pedro Javier del Cid; Danny Hughes 001; Jo Ueyama; Sam Michiels; Wouter Joosen (MidSens, 2009)

Policy-Driven Tailoring of Sensor Networks. - Nelson Matthys; Christophe Huygens; Danny Hughes 001; Jo Ueyama; Sam Michiels; Wouter Joosen (S-CUBE, 2010)

Building Wireless Sensor Network Applications with LooCI. - Daniel Hughes 001; Klaas Thoelen; Wouter Horré; Nelson Matthys; Javier del Cid; Sam Michiels; Christophe Huygens; Wouter Joosen; Jo Ueyama (Int. J. Mob. Comput. Multim. Commun., 2010)

Exploiting a Generic Approach to Construct Component-Based Systems Software in Linux Environments. - Jo Ueyama; Edmundo R. M. Madeira; François Taïani; Raphael Y. de Camargo; Paul Grace; Geoff Coulson (Int. J. Softw. Eng. Knowl. Eng., 2010)

Evaluating the impact of the number of access points in mobile robots localization using artificial neural networks. - Gustavo Pessin; Fernando Santos Osório; Jo Ueyama; Jefferson R. Souza; Denis F. Wolf; Torsten Braun; Patrícia Amâncio Vargas (COMSWARE, 2011)

Uma revisão sistemática sobre métodos de avaliação de usabilidade aplicados em software de telefones celulares. - Vinícius Pereira Gonçalves; Vânia Paula de Almeida Néris; Marcelo Morandini; Elisa Yumi Nakagawa; Jo Ueyama (IHC+CLIHC, 2011)

Interação de idosos com celulares: flexibilidade para atender a diversidade. - Vinícius Pereira Gonçalves; Vânia Paula de Almeida Néris; Jó Ueyama (IHC+CLIHC, 2011)

A generic policy-free framework for fault-tolerant systems: Experiments on WSNs. - Delano M. Beder; Jo Ueyama; Marcos Lordello Chaim (NESEA, 2011)

A middleware platform to support river monitoring using wireless sensor networks. - Danny Hughes 001; Jo Ueyama; Eduardo M. Mendiondo; Nelson Matthys; Wouter Horré; Sam Michiels; Christophe Huygens; Wouter Joosen; Ka Lok Man; Sheng-Uei Guan (J. Braz. Comput. Soc., 2011)

Evolving an Indoor Robotic Localization System Based on Wireless Networks. - Gustavo Pessin; Fernando Santos Osório; Jefferson R. Souza; Fausto G. Costa; Jó Ueyama; Denis F. Wolf; Torsten Braun; Patrícia A. Vargas (EANN, 2012)

An Analitic Approach to Evaluate Flexible Mobile User Interfaces for the Elderly. - Vinícius Pereira Gonçalves; Vânia Paula de Almeida Néris; Jó Ueyama; Sibelius Seraphini (ICEIS (3), 2012)

The use of unmanned aerial vehicles and wireless sensor network in agricultural applications. - Fausto G. Costa; Jó Ueyama; Torsten Braun; Gustavo Pessin; Fernando Santos Osório; Patrícia Amâncio Vargas (IGARSS, 2012)

Exploiting safe parallelism in Wireless Sensor Networks: A generic and reconfigurable approach. - Jo Ueyama; Danny Hughes 001; Paul Grace; Edmundo R. M. Madeira (NESEA, 2012)

Network partition-aware geographical data dissemination. - Leandro A. Villas; Azzedine Boukerche; Regina Borges de Araujo; Antonio A. F. Loureiro; Jo Ueyama (ICC, 2013)

Flexinterface: A Framework to Provide Flexible Mobile Phone User Interfaces - Addressing the Elderly Diversity. - Vinícius Pereira Gonçalves; Sibelius Seraphini; Vânia Paula de Almeida Néris; Jó Ueyama (ICEIS (3), 2013)

Emoções na interação humano-computador: um estudo considerando sensores. - Vinícius Pereira Gonçalves; Vânia Paula de Almeida Néris; Jó Ueyama; Gabriel T. Giancristofaro; Geraldo P. R. Filho; Sibelius Seraphini (IHC, 2013)

Using wireless sensor networks in the sensor web for flood monitoring in Brazil. - Lívia Castro Degrossi; Guilherme G. Do Amaral; Eduardo S. M. de Vasconcelos; João Porto de Albuquerque; Jo Ueyama (ISCRAM, 2013)

A new solution for the time-space localization problem in wireless sensor network using UAV. - Azzedine Boukerche; Leandro A. Villas; Daniel L. Guidoni; Guilherme Maia; Felipe D. da Cunha; Jo Ueyama; Antonio A. F. Loureiro (DIVANet@MSWiM, 2013)

3D Localization in Wireless Sensor Networks Using Unmanned Aerial Vehicle. - Leandro A. Villas; Daniel L. Guidoni; Jo Ueyama (NCA, 2013)

Investigation on the Evolution of an Indoor robotic Localization System Based on Wireless Networks. - Gustavo Pessin; Fernando Santos Osório; Jefferson R. Souza; Jó Ueyama; Fausto G. Costa; Denis F. Wolf; Desislava C. Dimitrova; Torsten Braun; Patrícia Amâncio Vargas (Appl. Artif. Intell., 2013)

Deploying Real-Life WSN Applications: Challenges, Solutions, and Future Directions. - Regina Borges de Araujo; Carlos H. C. Ribeiro; Damla Turgut; Jo Ueyama; Torsten Braun (Int. J. Distributed Sens. Networks, 2013)

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 (Int. J. Distributed Sens. Networks, 2013)

Swarm intelligence and the quest to solve a garbage and recycling collection problem. - Gustavo Pessin; Daniel O. Sales; Maurício Acconcia Dias; Rafael Luiz Klaser; Denis F. Wolf; Jó Ueyama; Fernando Santos Osório; Patrícia A. Vargas (Soft Comput., 2013)

Combining Wireless Sensor Networks and Machine Learning for Flash Flood Nowcasting. - 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 (AINA Workshops, 2014)

Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields. - Bruno S. Faiçal; Gustavo Pessin; Geraldo P. R. Filho; Gustavo Furquim; André C. P. L. F. de Carvalho; Jó Ueyama (EANN, 2014)

An Accurate Flood Forecasting Model Using Wireless Sensor Networks and Chaos Theory: A Case Study with Real WSN Deployment in Brazil. - Gustavo Furquim; Rodrigo Mello; Gustavo Pessin; Bruno S. Faiçal; Eduardo M. Mendiondo; Jó Ueyama (EANN, 2014)

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields. - Bruno S. Faiçal; Gustavo Pessin; Geraldo P. R. Filho; André C. P. L. F. de Carvalho; Gustavo Furquim; Jo Ueyama (ICTAI, 2014)

Topological routing for Heterogeneous Wireless Sensor Networks. - Daniel L. Guidoni; Fernanda S. H. Souza; Jo Ueyama; Leandro A. Villas (ISCC, 2014)

AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring. - Flávio E. A. Horita; Maria Clara Fava; Eduardo M. Mendiondo; Jairo Rotava; Vladimir C. B. de Souza; Jo Ueyama; João Porto de Albuquerque (ISCRAM, 2014)

VANets: An Exploratory Evaluation in Vehicular Ad Hoc Network for Urban Environment. - Claudio Correa; Jo Ueyama; Rodolfo Ipolito Meneguette; Leandro Aparecido Villas (NCA, 2014)

Self-localisation in indoor environments combining learning and evolution with wireless networks. - Gustavo Pessin; Fernando Santos Osório; Jó Ueyama; Denis F. Wolf; Renan Cipriano Moioli; Patrícia A. Vargas (SAC, 2014)

An Energy Consumption Aware Solution for the 3D Localization and Synchronization Problems in WSNs. - Cristiano B. Cardoso; Daniel Ludovico Guidoni; Guilherme Maia; Jo Ueyama; Antonio A. F. Loureiro; Leandro A. Villas (SBRC, 2014)

Exploiting the use of unmanned aerial vehicles to provide resilience in wireless sensor networks. - Jo Ueyama; Heitor Freitas; Bruno S. Faiçal; Geraldo P. R. Filho; Pedro H. Fini; Gustavo Pessin; Pedro Henrique Gomes; Leandro A. Villas (IEEE Commun. Mag., 2014)

Investigation on the evolution of a robotic controller for autonomous vehicle navigation. - Gustavo Pessin; Jefferson R. Souza; Fernando Santos Osório; Bruno S. Faiçal; Geraldo P. R. Filho; Jó Ueyama; Patrícia A. Vargas; Denis Fernando Wolf (J. Intell. Fuzzy Syst., 2014)

The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides. - 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 (J. Syst. Archit., 2014)

NodePM: A Remote Monitoring Alert System for Energy Consumption Using Probabilistic Techniques. - Geraldo P. R. Filho; Jó Ueyama; Leandro A. Villas; Alex R. Pinto; Vinícius Pereira Gonçalves; Gustavo Pessin; Richard W. Pazzi; Torsten Braun (Sensors, 2014)

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 Pessin; Pedro Henrique Gomes; Eduardo M. Mendiondo; Jó Ueyama (IDEAL, 2015)

Enhancing intelligence in inter-vehicle communications to detect and reduce congestion in urban centers. - Rodolfo I. Meneguette; Geraldo P. R. Filho; Luiz F. Bittencourt; Jo Ueyama; Bhaskar Krishnamachari; Leandro A. Villas (ISCC, 2015)

On the Analysis of Newman & Watts and Kleinberg Small World Models in Wireless Sensor Networks. - Renan Pereira Araujo; Fernanda Sumika Hojo de Souza; Jo Ueyama; Leandro Aparecido Villas; Daniel Ludovico Guidoni (NCA, 2015)

An Energy-Aware System for Decision-Making in a Residential Infrastructure Using Wireless Sensors and Actuators. - Geraldo P. R. Filho; Jo Ueyama; Bruno S. Faiçal; Gustavo Pessin; Claudio M. de Farias; Richard W. Pazzi; Daniel L. Guidoni; Leandro A. Villas (NCA, 2015)

Ad hoc vehicular: Exploratory evaluation of a vehicular ad hoc network in Urban and highway settings. - Claudio Correa; Jo Ueyama; Rodolfo I. Meneguette; Leandro A. Villas; Geraldo P. R. Filho (NTMS, 2015)

Combining cell phones and WSNs for preventing accidents in smart-homes with disabled people. - Diulie J. Freitas; Tiago B. Marcondes; Luis Hideo Vasconcelos Nakamura; Jo Ueyama; Pedro Henrique Gomes; Rodolfo I. Meneguette (NTMS, 2015)

ResiDI: An Intelligent Decision Platform for Residential Infrastructure Using Wireless Sensors and Actuators. - Geraldo P. R. Filho; Jo Ueyama; Bruno S. Faiçal; Daniel L. Guidoni; Leandro A. Villas (SBRC, 2015)

An Efficient Solution to perform Automatic Meter Reading using an Unmanned Aerial Vehicle. - José Rodrigues Torres Neto; Daniel Ludovico Guidoni; Jo Ueyama; Leandro Aparecido Villas (SBRC, 2015)

Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks. - Flávio Eduardo Aoki Horita; João Porto de Albuquerque; Lívia Castro Degrossi; Eduardo M. Mendiondo; Jó Ueyama (Comput. Geosci., 2015)

An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle. - Leandro A. Villas; Daniel L. Guidoni; Guilherme Maia; Richard W. Pazzi; Jó Ueyama; Antonio A. F. Loureiro (Wirel. Networks, 2015)

Dynamic Sensor Management: Extending Sensor Web for Near Real-Time Mobile Sensor Integration in Dynamic Scenarios. - 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 (AINA, 2016)

Exploiting the use of machine learning in two different sensor network architectures for indoor localization. - Eduardo Carvalho; Bruno S. Faiçal; Geraldo P. R. Filho; Patrícia A. Vargas; Jo Ueyama; Gustavo Pessin (ICIT, 2016)

The Use of Autonomous UAVs to Improve Pesticide Application in Crop Fields. - Bruno S. Faiçal; Jo Ueyama; André C. P. L. F. de Carvalho (MDM (Workshops), 2016)

Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition. - Leandro Y. Mano; Bruno S. Faiçal; Luis Hideo Vasconcelos Nakamura; Pedro Henrique Gomes; Giampaolo L. Libralon; Rodolfo I. Meneguette; Geraldo P. R. Filho; Gabriel T. Giancristofaro; Gustavo Pessin; Bhaskar Krishnamachari; Jó Ueyama (Comput. Commun., 2016)

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields: An Approach for Dynamic Environments. - Bruno S. Faiçal; Gustavo Pessin; Geraldo P. R. Filho; André Carlos Ponce de Leon Ferreira de Carvalho; Pedro Henrique Gomes; Jó Ueyama (Int. J. Artif. Intell. Tools, 2016)

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 Pessin; Bruno S. Faiçal; Eduardo M. Mendiondo; Jó Ueyama (Neural Comput. Appl., 2016)

Exploiting the Use of Convolutional Neural Networks for Localization in Indoor Environments. - Bruno V. Ferreira; Eduardo Carvalho; Mylena R. Ferreira; Patrícia A. Vargas; Jó Ueyama; Gustavo Pessin (Appl. Artif. Intell., 2017)

Performance evaluation of unmanned aerial vehicles in automatic power meter readings. - José Rodrigues Torres Neto; Azzedine Boukerche; Roberto Sadao Yokoyama; Daniel L. Guidoni; Rodolfo I. Meneguette; Jo Ueyama; Leandro A. Villas (Ad Hoc Networks, 2017)

Enhancing intelligence in multimodal emotion assessments. - Vinícius Pereira Gonçalves; Eduardo P. Costa; Alan Valejo; Geraldo P. R. Filho; Thienne M. Johnson; Gustavo Pessin; Jó Ueyama (Appl. Intell., 2017)

An adaptive approach for UAV-based pesticide spraying in dynamic environments. - Bruno S. Faiçal; Heitor Freitas; Pedro Henrique Gomes; Leandro Y. Mano; Gustavo Pessin; André C. P. L. F. de Carvalho; Bhaskar Krishnamachari; Jó Ueyama (Comput. Electron. Agric., 2017)

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 (Int. J. Distributed Sens. Networks, 2017)

Assessing users' emotion at interaction time: a multimodal approach with multiple sensors. - Vinícius Pereira Gonçalves; Gabriel T. Giancristofaro; Geraldo P. R. Filho; Thienne M. Johnson; Valéria Carvalho; Gustavo Pessin; Vânia Paula de Almeida Néris; Jó Ueyama (Soft Comput., 2017)

Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly. - Vinícius Pereira Gonçalves; Vânia Paula de Almeida Néris; Sibelius Seraphini; Teresa C. M. Dias; Gustavo Pessin; Thienne M. Johnson; Jó Ueyama (Univers. Access Inf. Soc., 2017)

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; Guilherme Bayer; Gustavo Pessin; Pedro Henrique Gomes (Comput. Environ. Urban Syst., 2017)

Using Unmanned Aerial Vehicle to Spread Natural Enemies for Biological Control in Dynamic Environments. - Heitor Freitas; Lucas Tomazela; Alef Vinicius Cardoso e Silva; Jó Ueyama (CLEI, 2018)

Análise de Sentimento em Redes Sociais para a Língua Portuguesa Utilizando Algoritmos de Classificação. - Erikson Júlio De Aguiar; Bruno S. Faiçal; Jó Ueyama; Glauco Carlos Silva; André Luís Andrade Menolli (SBRC, 2018)

Um Sistema de Controle Neuro-Fog para Infraestruturas Residenciais via Objetos Inteligentes. - Geraldo P. R. Filho; José Rodrigues Torres Neto; Alan Valejo; Rodolfo I. Meneguette; Leandro A. Villas; Jó Ueyama (SBRC, 2018)

Uma plataforma de IoT para integração de dispositivos baseada em nuvem com Apache Kafka. - Adriano B. de Sousa; José Rodrigues Torres Neto; Geraldo P. R. Filho; Jó Ueyama (SBRC Companion, 2018)

ResiDI: Towards a smarter smart home system for decision-making using wireless sensors and actuators. - Geraldo P. R. Filho; Leandro A. Villas; Heitor Freitas; Alan Valejo; Daniel L. Guidoni; Jó Ueyama (Comput. Networks, 2018)

A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management. - Luiz Fernando Ferreira Gomes de Assis; Flávio E. A. Horita; Edison Pignaton de Freitas; Jó Ueyama; João Porto de Albuquerque (Sensors, 2018)

How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data. - Gustavo Furquim; Geraldo P. R. Filho; Roozbeh Jalali; Gustavo Pessin; Richard W. Pazzi; Jó Ueyama (Sensors, 2018)

Towards a Smart Fault Tolerant Indoor Localization System Through Recurrent Neural Networks. - Eduardo C. de Carvalho; Bruno V. Ferreira; Geraldo P. R. Filho; Pedro Henrique Gomes; Gustavo Medeiros Freitas; Patrícia A. Vargas; Jó Ueyama; Gustavo Pessin (IJCNN, 2019)

How Do I Feel? Identifying Emotional Expressions on Facebook Reactions Using Clustering Mechanism. - Felipe Taliar Giuntini; Larissa Pires Ruiz; Luziane de Fátima Kirchner; Denise Aparecida Passarelli; Maria de Jesus Dutra dos Reis; Andrew Thomas Campbell; Jo Ueyama (IEEE Access, 2019)

Experimental Security Analysis of Controller Software in SDNs: A Review. - Tiago V. Ortiz; Bruno Yuji Lino Kimura; Jó Ueyama; Valério Rosset (CoRR, 2019)

Energy-efficient smart home systems: Infrastructure and decision-making process. - Geraldo P. R. Filho; Leandro A. Villas; Vinícius P. Gonçalves 001; Gustavo Pessin; Antonio A. F. Loureiro; Jó Ueyama (Internet Things, 2019)

ENLACE: A Combination of Layer-Based Architecture and Wireless Communication for Emotion Monitoring in Healthcare. - Leandro Y. Mano; Vinícius A. Barros; Luiz Henrique Nunes; Luana Okino Sawada; Júlio Cezar Estrella; Jó Ueyama (Mob. Inf. Syst., 2019)

Optimization of Transmission Signal Power through Observation of Congestion in VANets Using the Fuzzy Logic Approach: A Case Study in Highway and Urban Layout. - Claudio Correa; Rodolfo I. Meneguette; Patrícia R. Oliveira 001; Jó Ueyama (Wirel. Commun. Mob. Comput., 2019)

Exploiting Offloading in IoT-Based Microfog: Experiments with Face Recognition and Fall Detection. - José Rodrigues Torres Neto; Geraldo P. R. Filho; Leandro Y. Mano; Leandro A. Villas; Jó Ueyama (Wirel. Commun. Mob. Comput., 2019)

Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities. - Geraldo P. Rocha Filho; Rodolfo I. Meneguette; José Rodrigues Torres Neto; Alan Valejo; Li Weigang 001; Jó Ueyama; Gustavo Pessin; Leandro A. Villas (Ad Hoc Networks, 2020)

Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control. - Heitor Freitas; Bruno S. Faiçal; Alef Vinicius Cardoso e Silva; Jó Ueyama (Comput. Electron. Agric., 2020)

A fog-enabled smart home solution for decision-making using smart objects. - Geraldo P. Rocha Filho; Rodolfo I. Meneguette; Guilherme Maia; Gustavo Pessin; Vinícius P. Gonçalves 001; Li Weigang 001; Jó Ueyama; Leandro A. Villas (Future Gener. Comput. Syst., 2020)

A review on recognizing depression in social networks: challenges and opportunities. - Felipe Taliar Giuntini; Mirela T. Cazzolato; Maria de Jesus Dutra dos Reis; Andrew Thomas Campbell; Agma J. M. Traina; Jó Ueyama (J. Ambient Intell. Humaniz. Comput., 2020)

An intelligent and generic approach for detecting human emotions: a case study with facial expressions. - Leandro Y. Mano; Bruno S. Faiçal; Vinícius P. Gonçalves 001; Gustavo Pessin; Pedro Henrique Gomes; André C. P. L. F. de Carvalho; Jó Ueyama (Soft Comput., 2020)

Towards a decentralized e-prescription system using smart contracts. - Rodrigo Dutra Garcia; Gabriel Augusto Zutião; Gowri Sankar Ramachandran; Jo Ueyama (CBMS, 2021)

A Mechanism for Verifying the Integrity and Immutability of Tuberculosis Data Using IOTA Distributed Ledger Technology. - Vinícius Lima 001; Filipe Andrade Bernardi; Rui Rijo; Jó Ueyama; Domingos Alves (dHealth, 2021)

Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks. - 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 (IEEE Access, 2021)

Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining. - 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 (IEEE Access, 2021)

A Blockchain-based Data Governance Framework with Privacy Protection and Provenance for e-Prescription. - Rodrigo Dutra Garcia; Gowri Sankar Ramachandran; Raja Jurdak; Jo Ueyama (CoRR, 2021)

A Survey of Blockchain-Based Strategies for Healthcare. - Erikson Júlio De Aguiar; Bruno S. Faiçal; Bhaskar Krishnamachari; Jó Ueyama (ACM Comput. Surv., 2021)

Improving flood forecasting through feature selection by a genetic algorithm - experiments based on real data from an Amazon rainforest river. - Alen Costa Vieira; Gabriel Garcia; Rosa Elvira Correa Pabon; Luciano Perdigão Cota; Paulo A. de Souza; Jó Ueyama; Gustavo Pessin (Earth Sci. Informatics, 2021)

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, 2021)

A Blockchain-based Data Governance with Privacy and Provenance: a case study for e-Prescription. - Rodrigo Dutra Garcia; Gowri Sankar Ramachandran; Raja Jurdak; Jo Ueyama (ICBC, 2022)

On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. - Elnaz Shafipour Yourdshahi; Matheus Aparecido do Carmo Alves; Amokh Varma; Leandro Soriano Marcolino; Jó Ueyama; Plamen Angelov 001 (Auton. Agents Multi Agent Syst., 2022)

Exploiting smart contracts in PBFT-based blockchains: A case study in medical prescription system. - Rodrigo Dutra Garcia; Gowri Sankar Ramachandran; Jó Ueyama (Comput. Networks, 2022)

Providing a greater precision of Situational Awareness of urban floods through Multimodal Fusion. - Thiago Aparecido Gonçalves da Costa; Rodolfo Ipolito Meneguette; Jó Ueyama (Expert Syst. Appl., 2022)

A blockchain-based protocol for tracking user access to shared medical imaging. - Erikson Júlio De Aguiar; Alyson de Jesus dos Santos; Rodolfo I. Meneguette; Robson E. De Grande; Jó Ueyama (Future Gener. Comput. Syst., 2022)

A river flooding detection system based on deep learning and computer vision. - Francisco Erivaldo Fernandes Junior; Luis Gustavo Nonato; Jó Ueyama (Multim. Tools Appl., 2022)

Blockchain-Aided and Privacy-Preserving Data Governance in Multi-Stakeholder Applications. - Rodrigo Dutra Garcia; Gowri Sankar Ramachandran; Raja Jurdak; Jo Ueyama (IEEE Trans. Netw. Serv. Manag., 2022)

Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach. - Esteban Wilfredo Vilca Zuñiga; Caetano Mazzoni Ranieri; Liang Zhao 001; Jó Ueyama; Yu-tao Zhu; Donghong Ji (INNS DLIA@IJCNN, 2023)

Evaluating Conveyor Belt Health With Signal Processing Applied to Inertial Sensing. - 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 (SIoT, 2023)

Vehicular Edge Computing: Architecture, Resource Management, Security, and Challenges. - Rodolfo I. Meneguette; Robson E. De Grande; Jo Ueyama; Geraldo P. Rocha Filho; Edmundo R. M. Madeira (ACM Comput. Surv., 2023)

A module-based framework to emotion recognition by speech: a case study in clinical simulation. - Luana Okino Sawada; Leandro Yukio Mano; José Rodrigues Torres Neto; Jó Ueyama (J. Ambient Intell. Humaniz. Comput., 2023)

FLORAS: urban flash-flood prediction using a multivariate model. - Lucas Augusto Vieira Brito; Rodolfo I. Meneguette; Robson E. De Grande; Caetano Mazzoni Ranieri; Jó Ueyama (Appl. Intell., 2023)

MADCS: A Middleware for Anomaly Detection and Content Sharing for Blockchain-Based Systems. - Alef Vinicius Cardoso e Silva; Felipe Taliar Giuntini; Caetano Mazzoni Ranieri; Rodolfo Ipolito Meneguette; Rodrigo Dutra Garcia; Gowri Sankar Ramachandran; Bhaskar Krishnamachari; Jó Ueyama (J. Netw. Syst. Manag., 2023)

Machine Learning Techniques for Improving Multiclass Anomaly Detection on Conveyor Belts. - Saulo N. Matos; Otávio Ferracioli Coletti; Rafael Zimmer; Fernando Ugucioni Filho; Ricardo C. C. L. de Carvalho; Victor R. da Silva; Jorge Luiz Franco; Thomás V. B. Pinto; Luiz Guilherme Dias de Barros; Caetano Mazzoni Ranieri; Bruno Eduardo Lopes; Diego F. Silva; et al. (I2MTC, 2024)

POSTER: Towards an Identity Authentication Layer in CBDC Networks using Self-Sovereign Identities. - João Pedro Alonso Almeida; Rodrigo Dutra Garcia; Gowri Sankar Ramachandran; Jó Ueyama (ICBC, 2024)

Towards a Portability Scheme for Decentralized Identifiers in Self-Sovereign Identities. - João Pedro Alonso Almeida; Gowri Sankar Ramachandran; Paul Ashley; Raja Jurdak; Steven McCown; Jó Ueyama (PST, 2024)

A Survey of Blockchain-Based Privacy Applications: An Analysis of Consent Management and Self-Sovereign Identity Approaches. - Rodrigo Dutra Garcia; Gowri Sankar Ramachandran; Kealan Dunnett; Raja Jurdak; Caetano Mazzoni Ranieri; Bhaskar Krishnamachari; Jo Ueyama (CoRR, 2024)

An automated decision-making system employing complex networks and blockchain for the decentralized stock market. - Rodrigo Dutra Garcia; Junio Cesar Ferreira; Lucas Zanotti; Gowri Sankar Ramachandran; Júlio Cezar Estrella; Jó Ueyama (Expert Syst. Appl., 2024)

Blockchain in inter-organizational collaboration: A privacy-preserving voting system for collective decision-making. - Lívia Maria Bettini de Miranda; Rodrigo Dutra Garcia; Gowri Sankar Ramachandran; Jo Ueyama; Fábio Müller Guerrini (J. Inf. Secur. Appl., 2024)

An Evaluation of Iron Ore Characteristics Through Machine Learning and 2-D LiDAR Technology. - 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 (IEEE Trans. Instrum. Meas., 2024)

Performance analysis of a Vehicular Ad Hoc network Using LoRa technology and IoT devices in Amazon Rivers. - Lucélia Cunha da Rocha Santos; Sarita Mazzini Bruschi; Paulo Sergio Lopes de Souza; Jó Ueyama; Alyson de Jesus dos Santos; Jezreel Souto Barbosa (Ad Hoc Networks, 2024)

Water level identification with laser sensors, inertial units, and machine learning. - Caetano Mazzoni Ranieri; Angelo V. K. Foletto; Rodrigo Dutra Garcia; Saulo N. Matos; Maria M. G. Medina; Leandro Soriano Marcolino; Jó Ueyama (Eng. Appl. Artif. Intell., 2024)

A deep learning workflow enhanced with optical flow fields for flood risk estimation. - Caetano Mazzoni Ranieri; Thaís Luiza Donega e Souza; Marislei Nishijima; Bhaskar Krishnamachari; Jó Ueyama (Appl. Intell., 2024)

Uncertainty Quantification in Measuring Ore Mass Flow Rate with Data-Driven Soft Sensors. - Francisco José Dos Santos Diniz; Saulo N. Matos; Jó Ueyama; Leandro Soriano Marcolino; Eduardo José da Silva Luz; Gustavo Pessin (I2MTC, 2025)

Is a poster a strong signal of film quality? evaluating the predictive power of visual elements using deep learning. - Thaís Luiza Donega e Souza; Caetano Mazzoni Ranieri; Anand Panangadan; Jó Ueyama; Marislei Nishijima (Multim. Tools Appl., 2025)