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ORCIDEduardo P. de Aguiar
Person information
- affiliation: Universidade Federal de Juiz de Fora, Minas Gerais, Brazil
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Journal Articles
- 2024
[j18]Kaike Sa Teles Rocha Alves
, Caian Dutra de Jesus, Eduardo Pestana de Aguiar:
A new Takagi-Sugeno-Kang model for time series forecasting. Eng. Appl. Artif. Intell. 133: 108155 (2024)- [j17]Arthur Caio Vargas Pinto, Larissa C. C. da Silva, Petrônio C. L. Silva, Frederico G. Guimarães, Eduardo P. de Aguiar:
Autonomous data partitioning for type-2 fuzzy set based time series. Evol. Syst. 15(2): 575-590 (2024) - 2023
- [j16]Alessandro L. Castro, André Luís Marques Marcato, Eduardo P. de Aguiar:
Multifractal Analysis of the Brazilian Electricity Market. IEEE Access 11: 98939-98957 (2023) - [j15]Guilherme A. N. Pussente, Eduardo P. de Aguiar, André L. M. Marcato, Milena F. Pinto:
UAV Power Line Tracking Control Based on a Type-2 Fuzzy-PID Approach. Robotics 12(2): 60 (2023) - 2022
- [j14]Eduardo Ravaglia Campos Queiroz, Kaike Sa Teles Rocha Alves, Fernando Luiz Cyrino Oliveira, Eduardo Pestana de Aguiar:
Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil. Evol. Syst. 13(2): 297-306 (2022) - [j13]Carlos M. Viriato Neto, Luca G. Honorio, Eduardo P. de Aguiar:
Semi-supervised deep rule-based approach for the classification of Wagon Bogie springs condition. Evol. Syst. 13(5): 653-666 (2022) - [j12]Arthur Caio Vargas Pinto, Thiago E. Fernandes, Petrônio C. L. Silva, Frederico G. Guimarães, Christian Wagner, Eduardo Pestana de Aguiar:
Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach. Evol. Syst. 13(5): 703-721 (2022) - [j11]Michell Hell, Eduardo Pestana de Aguiar, Nielson Soares, Leonardo Goliatt:
A Data-Driven Time-Series Fault Prediction Framework for Dynamically Evolving Large-Scale Data Streaming Systems. Int. J. Fuzzy Syst. 24(6): 2831-2844 (2022) - [j10]Lara D. Fonseca, Eduardo Pestana de Aguiar:
Stochastic Optimization Combined with Type-2 Fuzzy Logic System for the Classification of Trends in Hot Boxes and Hot Wheels. Int. J. Fuzzy Syst. 24(7): 3144-3161 (2022) - [j9]Felipe Oliveira Barino, Eduardo Pestana de Aguiar, Leonardo de Mello Honório, Vinicius Nunes Henrique Silva, Andrés Pablo López-Barbero, Alexandre Bessa dos Santos:
A Fuzzy Approach to LPFG-Based Optical Sensor Processing and Interrogation. IEEE Trans. Instrum. Meas. 71: 1-7 (2022) - 2021
- [j8]Kaike Sa Teles Rocha Alves, Eduardo Pestana de Aguiar:
A novel rule-based evolving Fuzzy System applied to the thermal modeling of power transformers. Appl. Soft Comput. 112: 107764 (2021) - [j7]Nielson Soares, Eduardo Pestana de Aguiar, Amanda Campos Souza, Leonardo Goliatt:
Unsupervised machine learning techniques to prevent faults in railroad switch machines. Int. J. Crit. Infrastructure Prot. 33: 100423 (2021) - [j6]Eduardo P. de Aguiar, Thiago E. Fernandes, Fernando M. de A. Nogueira, Daniel Discini Silveira, Marley M. B. R. Vellasco, Moisés Vidal Ribeiro:
A New Model to Distinguish Railhead Defects Based on Set-Membership Type-2 Fuzzy Logic System. Int. J. Fuzzy Syst. 23(4): 1057-1069 (2021) - [j5]Yash Chawla, Agnieszka Radziwon, Laurent Scaringella, Ewa Lazarczyk Carlson, Marco Greco, Paulo Duarte Silveira, Eduardo Pestana de Aguiar, QingYang Shen, Markus Will, Anna Kowalska-Pyzalska:
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. 58(6): 102720 (2021) - 2019
- [j4]Renan Piazzaroli Finotti Amaral, Moisés Vidal Ribeiro, Eduardo P. de Aguiar:
Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with binary classification problems. Neurocomputing 355: 57-70 (2019) - 2017
- [j3]Marlon Lucas Gomes Salmento, Eduardo P. de Aguiar, Ândrei Camponogara, Moisés Vidal Ribeiro:
An enhanced receiver for an impulsive UWB-based PLC system for low-bit rate applications. Digit. Signal Process. 70: 145-154 (2017) - [j2]Eduardo P. de Aguiar, Fernando M. de A. Nogueira, Marley M. B. R. Vellasco, Moisés Vidal Ribeiro:
Set-Membership Type-1 Fuzzy Logic System Applied to Fault Classification in a Switch Machine. IEEE Trans. Intell. Transp. Syst. 18(10): 2703-2712 (2017) - 2016
- [j1]Eduardo P. de Aguiar, Fernando M. de A. Nogueira, Renan P. F. Amaral, Diego F. Fabri, Sérgio C. de A. Rossignoli, José Geraldo Ferreira, Marley M. B. R. Vellasco, Ricardo Tanscheit, Pedro C. G. da S. Vellasco, Moisés Vidal Ribeiro:
EANN 2014: a fuzzy logic system trained by conjugate gradient methods for fault classification in a switch machine. Neural Comput. Appl. 27(5): 1175-1189 (2016)
Conference and Workshop Papers
- 2023
- [c13]João Paulo S. H. Lima, Álvaro Augusto M. de Medeiros, Eduardo P. de Aguiar, Edelberto F. Silva, Vicente A. de Sousa Jr., Marcelo L. Nunes, Alysson L. Reis:
Deep Learning-Based Handover Prediction for 5G and Beyond Networks. ICC 2023: 3468-3473 - 2022
- [c12]Eduardo Santos de Oliveira Marques, Kaike Sa Teles Rocha Alves, Direnc Pekaslan, Eduardo Pestana de Aguiar:
Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Similarity Measures. EAIS 2022: 1-8 - [c11]Eduardo Santos de Oliveira Marques, Kaike Sa Teles Rocha Alves, Direnc Pekaslan, Eduardo Pestana de Aguiar:
Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Distance Measures. FUZZ-IEEE 2022: 1-8 - [c10]Kaike Sa Teles Rocha Alves, Direnc Pekaslan, Christian Wagner, Eduardo Pestana de Aguiar:
A New evolving Fuzzy System with Mechanisms to Deal With Uncertainties in Times Series Forecasting. LA-CCI 2022: 1-6 - 2021
- [c9]Arthur Caio Vargas Pinto, Petrônio C. L. Silva, Frederico G. Guimarães, Christian Wagner, Eduardo P. de Aguiar:
Self-Organised Direction Aware Data Partitioning for Type-2 Fuzzy Time Series Prediction. FUZZ-IEEE 2021: 1-6 - [c8]Eduardo Ravaglia Campos Queiroz, Kaike Sa Teles Rocha Alves, Fernando Luiz Cyrino Oliveira, Eduardo Pestana de Aguiar:
Evolving Fuzzy Modeling with Variable Step-Size applied to Gas Prices Forecasting in Brazil. FUZZ-IEEE 2021: 1-6 - [c7]Guilherme Augusto Namorato Pusssente, Tiago Henrique Santa Maria, André Luís Marques Marcato, Eduardo Pestana de Aguiar:
Trajectory Detection Method for Transmission Line Path Following Control. LARS/SBR/WRE 2021: 42-47 - 2020
- [c6]Tiago Henrique Santa Maria, Guilherme Augusto Namorato Pusssente, André Luís Marques Marcato, Eduardo Pestana de Aguiar:
NMPC controller applied to an UAV Path Following Problem. LARS/SBR/WRE 2020: 1-6 - 2018
- [c5]Rafaela Abreu Campos, Renan Piazzaroli Finotti Amaral, Ivan Fabio Mota de Menezes, Leonardo Goliatt da Fonseca, Moises Luiz Lagares, Eduardo Pestana de Aguiar:
Classification of Short Circuit GMA Welding using Type-1 and Singleton Fuzzy Logic System. FUZZ-IEEE 2018: 1-7 - [c4]Mateus Gheorghe de Castro Ribeiro, Pedro Henrique Souza Calderano, Renan Piazzaroli Finotti Amaral, Ivan Fabio Mota de Menezes, Ricardo Tanscheit, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Pestana de Aguiar:
Detection and Classification of Faults in Aeronautical Gas Turbine Engine: a Comparison Between two Fuzzy Logic Systems. FUZZ-IEEE 2018: 1-7 - 2017
- [c3]Eduardo P. de Aguiar, Renan P. F. Amaral, Marley M. B. R. Vellasco, Moisés Vidal Ribeiro:
Computing derivatives in interval type-2 fuzzy logic systems trained by steepest descent method for fault classification in a switch machine. FUZZ-IEEE 2017: 1-6 - [c2]Rodrigo Barbosa de Santis, Eduardo Pestana de Aguiar, Leonardo Goliatt da Fonseca:
Predicting material backorders in inventory management using machine learning. LA-CCI 2017: 1-6 - 2014
- [c1]Eduardo P. de Aguiar, Fernando M. de A. Nogueira, Renan P. F. Amaral, Diego F. Fabri, Sérgio C. de A. Rossignoli, José Geraldo Ferreira, Marley M. B. R. Vellasco, Ricardo Tanscheit, Moisés Vidal Ribeiro, Pedro C. G. da S. Vellasco:
Classification of Events in Switch Machines Using Bayes, Fuzzy Logic System and Neural Network. EANN 2014: 81-91
Coauthor Index
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