Artigos de Inteligência Artificial

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STEMIS

A Fuzzy Approach to LPFG-Based Optical Sensor Processing and Interrogation

Fiber Bragg Gratings (FBGs) Fuzzy System Long-period Fiber-grating (LPFG)
Felipe O. Barino; Eduardo P. de Aguiar et al;
IEEE Transactions on Instrumentation and Measurement - (2022)

Análise de Relevância de Atributos para Classificação de Falhas de Ferramentas de Corte Utilizando TSFRESH

  • Processamento de Sinais
  • Análise de Dados
  • Aprendizagem Computacional
Matheus A. M. Ferreira; Thiago E. Fernandes et al;
XL Simpósio Brasileiro de Telecomunicações de Processamento de Sinais - (2022)

Stochastic Optimization Combined with Type-2 Fuzzy Logic System for the Classification of Trends in Hot Boxes and Hot Wheels

Type-2 fuzzy logic systems Stochastic optimization Classification
Lara D. Fonseca; Eduardo P. de Aguiar
International Journal of Fuzzy Systems - (2022)

Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach

  • Type-2 fuzzy systems
  • Forecasting
  • Time series analysis
Arthur C. V. Pinto; Thiago E. Fernandes et al;
Evolving Systems - (2022)
STEMIS

Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Distance Measures

  • Uncertainty
  • Computational modeling
  • Time series analysis
Eduardo S. De O. Marques; Kaike S. T. R. Alves; Direnc Pekaslan; Eduardo P. De Aguiar
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) - (2022)

Power Transformers Thermal Modeling Based on the Modified Set-Membership Evolving Multivariable Gaussian and Variable Step-Size Evolving Multivariable Gaussian

  • Modified set-membership
  • Evolving fuzzy systems
  • Power transformers
Marcos V. G. da Rocha et al;
Journal of Control, Automation and Electrical Systems - (2022)

Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Similarity Measures

  • Adaptation models
  • Time series analysis
  • Predictive models
Eduardo S. de O. Marques; Kaike S. T. R. Alves; Direnc Pekaslan; Eduardo P. de Aguiar
2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) - (2022)

Semi-supervised deep rule-based approach for the classification of Wagon Bogie springs condition

  • SSDRB
  • Defects
  • Image processing
Carlos M. Viriato Neto; Luca G. Honorio; Eduardo P. de Aguiar
Evolving Systems - (2022)

A Data-Driven Time-Series Fault Prediction Framework for Dynamically Evolving Large-Scale Data Streaming Systems

  • Self-organising fuzzy classifier
  • Time-series feature extraction
  • Fault detection
Michell Hell; Eduardo P. de Aguiar; Nielson Soares; Leonardo Goliatt
International Journal of Fuzzy Systems - (2022)

Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil

  • Forecasting
  • Time series
  • Evolving fuzzy models
Eduardo R. C. Queiroz; Kaike S. T. R. Alves; Fernando L. C. Oliveira; Eduardo P. de Aguiar
Evolving Systems - (2022)

Classification of Lathe’s Cutting Tool Wear Based on an Autonomous Machine Learning Model

  • Autonomous learning
  • Machine learning
  • Machining processes
Thiago E. Fernandes; Matheus A. M. Ferreira et al;
Journal of Control, Automation and Electrical Systems - (2022)

A novel rule-based evolving fuzzy system applied to the thermal modeling of power transformers

  • Artificial intelligence
  • Evolving Fuzzy Systems
  • Time series forecasting
Kaike S. T. R. Alves; Eduardo P. de Aguiar
Applied Soft Computing - (2021)

Predictors and outcomes of individual knowledge on early-stage pandemic: Social media, information credibility, public opinion, and behaviour in a large-scale global study

  • Early-stage pandemics
  • Individual knowledge
  • Sources of information
Yash Chawla et al;
Information Processing & Management - (2021)
STEMIS

Trajectory Detection Method for Transmission Line Path Following Control

  • Visualization
  • Power transmission lines
  • Target tracking
Guilherme A. N. Pusssente; Tiago H. S. Maria; André L. M. Marcato; Eduardo P. de Aguiar
Latin American Robotics Symposium (LARS), Brazilian Symposium on Robotics (SBR), and Workshop on Robotics in Education (WRE) - (2021)
STEMIS

Evolving Fuzzy Modeling with Variable Step-Size applied to Gas Prices Forecasting in Brazil

  • Adaptation models
  • Computational modeling
  • Oils
Eduardo R. C. Queiroz; Kaike S. T. R. Alves; Fernando L. C. Oliveira; Eduardo P. de Aguiar
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) - (2021)
STEMIS

Self-Organised Direction Aware Data Partitioning for Type-2 Fuzzy Time Series Prediction

  • Type-2 Fuzzy Systems
  • Financial Time Series Forecasting
  • Type-2 Fuzzy Time Series
Arthur C.V. e Pinto; Petrônio C.L. Silva; Frederico G. Guimarães; Christian Wagner; Eduardo P. de Aguiar
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) - (2021)