Eduardo P. de Aguiar

Orcid: 0000-0001-7458-8976

Affiliations:
  • Universidade Federal de Juiz de Fora, Minas Gerais, Brazil


According to our database1, Eduardo P. de Aguiar authored at least 29 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
UAV Power Line Tracking Control Based on a Type-2 Fuzzy-PID Approach.
Robotics, April, 2023

Multifractal Analysis of the Brazilian Electricity Market.
IEEE Access, 2023

Deep Learning-Based Handover Prediction for 5G and Beyond Networks.
Proceedings of the IEEE International Conference on Communications, 2023

2022
A Fuzzy Approach to LPFG-Based Optical Sensor Processing and Interrogation.
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

Trajectory Detection Method for Transmission Line Path Following Control.
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
NMPC controller applied to an UAV Path Following Problem.
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

Predicting material backorders in inventory management using machine learning.
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


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