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 33 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting.
CoRR, June, 2025
Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures Approach.
CoRR, February, 2025
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