![STEMIS](https://stemis.com.br/wp-content/uploads/2023/03/stemis-logo-icone.png)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-Analise-de-Relevancia-de-Atributos-para-Classificacao-de-Falhas.jpg)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-Stochastic-Optimization-Combined-with-Type-2-Fuzzy-Logic-System.png)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-Interval-type-2-fuzzy-set-based-time-series-forecasting.png)
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](https://stemis.com.br/wp-content/uploads/2023/03/stemis-logo-icone.png)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-An-enhanced-set-membership-evolving-participatory-learning.jpg)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-Kernel-Evolving-Participatory-Fuzzy-Modeling-for-Time-Series-Forecasting.gif)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-Semi-supervised-deep-rule-based-approach-600x1024.png)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-A-Data-Driven-Time-Series-Fault-Prediction-Framework.jpg)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-Variable-step-size-evolving-participatory-learning.png)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-Classification-of-Lathes-Cutting-Tool-Wear.png)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-A-novel-rule-based-evolving-fuzzy-system.jpg)
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)
![](https://stemis.com.br/wp-content/uploads/2023/03/stemis-artigo-Predictors-and-outcomes-of-individual-knowledge-on-early-stage-pandemic.jpg)
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](https://stemis.com.br/wp-content/uploads/2023/03/stemis-logo-icone.png)
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](https://stemis.com.br/wp-content/uploads/2023/03/stemis-logo-icone.png)
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](https://stemis.com.br/wp-content/uploads/2023/03/stemis-logo-icone.png)
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)