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Eduardo 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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last updated on 2024-08-05 20:23 CEST by the dblp team
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