Eduardo P. de Aguiar
Orcid: 0000-0001-7458-8976Affiliations:
- Universidade Federal de Juiz de Fora, Minas Gerais, Brazil
According to our database1,
Eduardo P. de Aguiar
authored at least 31 papers
between 2014 and 2024.
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Bibliography
2024
Evol. Syst., April, 2024
Eng. Appl. Artif. Intell., 2024
2023
Robotics, April, 2023
Proceedings of the IEEE International Conference on Communications, 2023
2022
IEEE Trans. Instrum. Meas., 2022
A Data-Driven Time-Series Fault Prediction Framework for Dynamically Evolving Large-Scale Data Streaming Systems.
Int. J. Fuzzy Syst., 2022
Stochastic Optimization Combined with Type-2 Fuzzy Logic System for the Classification of Trends in Hot Boxes and Hot Wheels.
Int. J. Fuzzy Syst., 2022
Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil.
Evol. Syst., 2022
Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach.
Evol. Syst., 2022
Semi-supervised deep rule-based approach for the classification of Wagon Bogie springs condition.
Evol. Syst., 2022
A New evolving Fuzzy System with Mechanisms to Deal With Uncertainties in Times Series Forecasting.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022
Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Distance Measures.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Similarity Measures.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022
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.
Inf. Process. Manag., 2021
A New Model to Distinguish Railhead Defects Based on Set-Membership Type-2 Fuzzy Logic System.
Int. J. Fuzzy Syst., 2021
Unsupervised machine learning techniques to prevent faults in railroad switch machines.
Int. J. Crit. Infrastructure Prot., 2021
A novel rule-based evolving Fuzzy System applied to the thermal modeling of power transformers.
Appl. Soft Comput., 2021
Proceedings of the Latin American Robotics Symposium, 2021
Evolving Fuzzy Modeling with Variable Step-Size applied to Gas Prices Forecasting in Brazil.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
Self-Organised Direction Aware Data Partitioning for Type-2 Fuzzy Time Series Prediction.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
2020
Proceedings of the Latin American Robotics Symposium, 2020
2019
Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with binary classification problems.
Neurocomputing, 2019
2018
Detection and Classification of Faults in Aeronautical Gas Turbine Engine: a Comparison Between two Fuzzy Logic Systems.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Classification of Short Circuit GMA Welding using Type-1 and Singleton Fuzzy Logic System.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
Set-Membership Type-1 Fuzzy Logic System Applied to Fault Classification in a Switch Machine.
IEEE Trans. Intell. Transp. Syst., 2017
An enhanced receiver for an impulsive UWB-based PLC system for low-bit rate applications.
Digit. Signal Process., 2017
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017
Computing derivatives in interval type-2 fuzzy logic systems trained by steepest descent method for fault classification in a switch machine.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
EANN 2014: a fuzzy logic system trained by conjugate gradient methods for fault classification in a switch machine.
Neural Comput. Appl., 2016
2014
Classification of Events in Switch Machines Using Bayes, Fuzzy Logic System and Neural Network.
Proceedings of the Engineering Applications of Neural Networks, 2014