Eduardo P. de Aguiar

13 papers B 2C 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Autonomous data partitioning for type-2 fuzzy set based time series.
Evol. Syst.
Arthur Caio Vargas Pinto, Larissa C. C. da Silva, Petrônio C. L. Silva, Frederico G. Guimarães, Eduardo P. de Aguiar
2023 — conf
Deep Learning-Based Handover Prediction for 5G and Beyond Networks.
ICC
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
2023 J jnl
Multifractal Analysis of the Brazilian Electricity Market.
IEEE Access
Alessandro L. Castro, André Luís Marques Marcato, Eduardo P. de Aguiar
2023 J jnl
UAV Power Line Tracking Control Based on a Type-2 Fuzzy-PID Approach.
Robotics
Guilherme A. N. Pussente, Eduardo P. de Aguiar, André L. M. Marcato, Milena F. Pinto
2022 J jnl
Semi-supervised deep rule-based approach for the classification of Wagon Bogie springs condition.
Evol. Syst.
Carlos M. Viriato Neto, Luca G. Honorio, Eduardo P. de Aguiar
2021 J jnl
A New Model to Distinguish Railhead Defects Based on Set-Membership Type-2 Fuzzy Logic System.
Int. J. Fuzzy Syst.
Eduardo P. de Aguiar, Thiago E. Fernandes, Fernando M. de A. Nogueira, Daniel Discini Silveira, Marley M. B. R. Vellasco, Moisés Vidal Ribeiro
2021 B conf
Self-Organised Direction Aware Data Partitioning for Type-2 Fuzzy Time Series Prediction.
FUZZ-IEEE
Arthur Caio Vargas Pinto, Petrônio C. L. Silva, Frederico G. Guimarães, Christian Wagner, Eduardo P. de Aguiar
2019 J jnl
Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with binary classification problems.
Neurocomputing
Renan Piazzaroli Finotti Amaral, Moisés Vidal Ribeiro, Eduardo P. de Aguiar
2017 J jnl
An enhanced receiver for an impulsive UWB-based PLC system for low-bit rate applications.
Digit. Signal Process.
Marlon Lucas Gomes Salmento, Eduardo P. de Aguiar, Ândrei Camponogara, Moisés Vidal Ribeiro
2017 B conf
Computing derivatives in interval type-2 fuzzy logic systems trained by steepest descent method for fault classification in a switch machine.
FUZZ-IEEE
Eduardo P. de Aguiar, Renan P. F. Amaral, Marley M. B. R. Vellasco, Moisés Vidal Ribeiro
2017 J jnl
Set-Membership Type-1 Fuzzy Logic System Applied to Fault Classification in a Switch Machine.
IEEE Trans. Intell. Transp. Syst.
Eduardo P. de Aguiar, Fernando M. de A. Nogueira, Marley M. B. R. Vellasco, Moisés Vidal Ribeiro
2016 J jnl
EANN 2014: a fuzzy logic system trained by conjugate gradient methods for fault classification in a switch machine.
Neural Comput. Appl.
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
2014 C conf
Classification of Events in Switch Machines Using Bayes, Fuzzy Logic System and Neural Network.
EANN
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