Eduardo P. de Aguiar

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 12

Top Topics

Conjugate Gradient

Data Partitioning

Top Venues

Publications

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) (2024)
Alessandro L. Castro, André Luís Marques Marcato, Eduardo P. de Aguiar
Multifractal Analysis of the Brazilian Electricity Market. IEEE Access 11 (2023)
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)
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) (2023)
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) (2022)
Arthur C. V. e 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)
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) (2021)
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 (2019)
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)
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 (2017)
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) (2017)
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) (2016)
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)