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Ricardo Menezes Salgado
Ricardo Menezes Salgado
Dirección de correo verificada de bcc.unifal-mg.edu.br
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Performance comparison of artificial neural networks and expert systems applied to flow pattern identification in vertical ascendant gas–liquid flows
ES Rosa, RM Salgado, T Ohishi, N Mastelari
International Journal of Multiphase Flow 36 (9), 738-754, 2010
1702010
A hybrid ensemble model applied to the short-term load forecasting problem
RM Salgado, JJF Pereira, T Ohishi, R Ballini, CAM Lima, FJ Von Zuben
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
282006
A short-term bus load forecasting system
RM Salgado, T Ohishi, R Ballini
2010 10th International Conference on Hybrid Intelligent Systems, 55-60, 2010
242010
A hybrid approach to the load forecasting based on decision trees
RM Salgado, RR Lemes
Journal of Control, Automation and Electrical Systems 24, 854-862, 2013
172013
An hybrid aggregate model applied to the short-term bus load forecasting problem
RM Salgado, R Ballini, T Ohishi
2009 IEEE Bucharest PowerTech, 1-8, 2009
152009
Clustering bus load curves
RS Salgado, T Ohishi, R Ballini
IEEE PES Power Systems Conference and Exposition, 2004., 1251-1256, 2004
132004
Flow instability detection in offshore oil wells with multivariate time series machine learning classifiers
BG Carvalho, REV Vargas, RM Salgado, CJ Munaro, FM Varejão
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), 1-6, 2021
122021
An empirical analysis of MLP neural networks applied to streamflow forecasting
R Menezes
IEEE Latin America Transactions 9 (3), 295-301, 2011
112011
An intelligent decision support system to investment in the stock market
JA Macedo, LTO Camargo, HCB de Oliveira, LE da Silva, RM Salgado
IEEE Latin America Transactions 11 (2), 812-819, 2013
82013
Intelligent models to identification and treatment of outliers in electrical load data
RM Salgado, TC Machado, T Ohishi
IEEE Latin America Transactions 14 (10), 4279-4286, 2016
72016
Controle de inércia não monotônico na otimização por enxame de partículas.
T Silveira, HCB de Oliveira, LE da Silva, RM Salgado
Scientia 20 (2), 2009
72009
IoT applied to environmental monitoring in oysters' farms
V Viegas, JMD Pereira, P Girão, O Postolache, R Salgado
2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI …, 2018
62018
Modelos de inteligência computacional para geração de séries sintéticas de vazões médias mensais
RM Salgado, I Luna, R Ballini, S Soares, D da Silva Filho
Learning and Nonlinear Models 10 (3), 166-174, 2012
62012
Short-term load forecasting using support vector machines
JJF Pereira, RM Salgado, T Ohishi, R Ballini
IEEE PES Transmission and Distribution Conference, 2006
62006
Hyperparameter tuning and feature selection for improving flow instability detection in offshore oil wells
BG Carvalho, REV Vargas, RM Salgado, CJ Munaro, FM Varejão
2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1-6, 2021
52021
Very short-term bus reactive load forecasting models based on KDD approach
EF Franco, T Ohishi, RM Salgado
2017 IEEE 7th International Conference on Power and Energy Systems (ICPES …, 2017
52017
Expert system for dam assessment and emergency detection
M Leone-Filho, DAF Balbi, AE Toscano, PSF Barbosa, RM Salgado, ...
6th International conference on flood management, 2014
52014
Sistema de suporte á decisão para análise e previsão de carga por barramento
RM Salgado
Universidade Estadual de Campinas, 2009
52009
Voltammetry based automated instrument for in-situ and online measurement of heavy metals concentration in water
JMD Pereira, O Postolache, R Salgado, PS Girão
1st IMEKO TC19 Symposium on Measurement and Instrumentation for …, 2007
42007
Machine learning methods for the prediction of milk fatty acid content
J Petrini, RM Salgado, MAP Rodriguez, PF Machado, GB Mourao
International Journal of Dairy Technology 75 (3), 553-562, 2022
32022
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