Francisco Alexandre A. Souza
Citado por
Citado por
Review of soft sensor methods for regression applications
FAA Souza, R Araújo, J Mendes
Chemometrics and Intelligent Laboratory Systems 152, 69-79, 2016
Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine
T Matias, F Souza, R Araújo, CH Antunes
Neurocomputing 129, 428-436, 2014
Adaptive fuzzy identification and predictive control for industrial processes
J Mendes, R Araújo, F Souza
Expert Systems with Applications 40 (17), 6964-6975, 2013
Online mixture of univariate linear regression models for adaptive soft sensors
F Souza, R Araújo
IEEE Transactions on Industrial Informatics 10 (2), 937-945, 2013
Genetic fuzzy system for data-driven soft sensors design
J Mendes, F Souza, R Araújo, N Gonçalves
Applied Soft Computing, 2012
Variable and delay selection using neural networks and mutual information for data-driven soft sensors
F Souza, P Santos, R Araújo
Emerging Technologies and Factory Automation (ETFA), 2010 IEEE Conference on …, 2010
A multilayer-perceptron based method for variable selection in soft sensor design
FAA Souza, R Araújo, T Matias, J Mendes
Journal of Process Control 23 (10), 1371-1378, 2013
Mixture of partial least squares experts and application in prediction settings with multiple operating modes
FAA Souza, R Araújo
Chemometrics and Intelligent Laboratory Systems 130, 192-202, 2014
A new isolated DC-DC boost converter using three-state switching cell
RP Torrico-Bascopé, CGC Branco, GV Torrico-Bascope, CMT Cruz, ...
Applied Power Electronics Conference and Exposition, 2008. APEC 2008. Twenty …, 2008
On-line sequential extreme learning machine based on recursive partial least squares
T Matias, F Souza, R Araújo, N Gonçalves, JP Barreto
Journal of Process Control 27, 15-21, 2015
Applying probabilistic mixture models to semantic place classification in mobile robotics
C Premebida, DR Faria, FA Souza, U Nunes
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Co-evolutionary genetic multilayer perceptron for feature selection and model design
F Souza, T Matias, R Araójo
ETFA2011, 1-7, 2011
Adaptive fuzzy generalized predictive control based on Discrete-Time TS fuzzy model
J Mendes, R Araújo, F Souza
2010 IEEE 15th Conference on Emerging Technologies & Factory Automation …, 2010
Variable and time-lag selection using empirical data
F Souza, R Araujo
Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conference …, 2011
Design and application of soft sensor using ensemble methods
S Soares, R Araújo, P Sousa, F Souza
ETFA2011, 1-8, 2011
Sensor-fault tolerance in a wastewater treatment plant by means of ANFIS-based soft sensor and control reconfiguration
CAC Belchior, RAM Araújo, FAA Souza, JAC Landeck
Neural Computing and Applications 30 (10), 3265-3276, 2018
Fault detection and replacement of a temperature sensor in a cement rotary kiln
T Matias, D Gabriel, F Souza, R Araújo, JC Pereira
2013 IEEE 18th Conference on Emerging Technologies & Factory Automation …, 2013
Seasonal rainfall forecast using a neo-fuzzy neuron model
TN de Castro, F Souza, JMB Alves, RST Pontes, MBM Firmino, ...
2011 9th IEEE International Conference on Industrial Informatics, 694-698, 2011
Semi-supervised soft sensor and feature ranking based on co-regularised least squares regression applied to a polymerization batch process
V Ferreira, FAA Souza, R Araújo
2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017
Neo-fuzzy neuron model for seasonal rainfall forecast: A case study of Ceara's eight homogenous regions
TN de Castro, F Souza, MB José, RST Pontes, LLN dos Reis, S Daher
Journal of Intelligent & Fuzzy Systems 25 (2), 389-394, 2013
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