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ORCIDAida Araujo Ferreira
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2020 – today
- 2024
[c27]Mizael Claudino Lins Silva, Bruno Bione, Aida Araujo Ferreira, Iona Rameh Barbosa, Gilmar Gonçalves De Brito, Vania Soares De Carvalho, Dalton Cézane Gomes Valadares, Gutemberg G. dos Santos Júnior, Kyller Costa Gorgônio
:
Assistive System for Enhancing Accessibility of Public Transport for People with Disabilities. ICCE 2024: 1-4- 2022
- [j4]Jeydson L. Silva, Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Davidson C. Marques:
Deep brain emotional learning-based intelligent controller applied to an inverted pendulum system. J. Supercomput. 78(6): 8346-8366 (2022)
2010 – 2019
- 2019
- [c26]Aida Araujo Ferreira, Gilmar Brito, Lydia Nascimento da Silva, João Victor Mouzinho, Ryan Morais, Jonathan Romualdo Pereira:
Synesthesia Vision integration with Recife's Public Transport. W4A 2019: 15:1-15:2 - 2018
- [j3]Manuel Herrera, Alfonso P. Ramallo-González, Matthew Eames, Aida Araujo Ferreira, David A. Coley:
Creating extreme weather time series through a quantile regression ensemble. Environ. Model. Softw. 110: 28-37 (2018) - 2016
- [j2]Manuel Herrera, Aida Araujo Ferreira, David A. Coley, Ronaldo R. B. de Aquino:
SAX-quantile based multiresolution approach for finding heatwave events in summer temperature time series. AI Commun. 29(6): 725-732 (2016) - [c25]Ronaldo R. B. de Aquino, Jonata C. de Albuquerque, Otoni Nóbrega Neto, Milde M. S. Lira, Manoel A. Carvalho, Alcides Codeceira Neto, Aida Araujo Ferreira:
Assessment of power curves in models of wind power forecasting. IJCNN 2016: 3915-3922 - 2015
- [c24]Ronaldo R. B. de Aquino, Ramon B. Souza, Otoni Nóbrega Neto, Milde M. S. Lira, Manoel A. Carvalho, Aida Araujo Ferreira:
Echo state networks, artificial neural networks and fuzzy systems models for improve short-term wind speed forecasting. IJCNN 2015: 1-8 - 2014
- [c23]Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Ramon B. Souza, Milde M. S. Lira, Manoel A. Carvalho, Teresa Bernarda Ludermir, Aida Araujo Ferreira:
Investigating the use of Echo State Networks for prediction of wind power generation. CIES 2014: 148-154 - [c22]Ronaldo R. B. de Aquino, Teresa Bernarda Ludermir, Aida Araujo Ferreira, Otoni Nóbrega Neto, Ramon B. Souza, Milde M. S. Lira, Manoel A. Carvalho:
Improving reservoir based wind power forecasting with ensembles. SMC 2014: 946-952 - 2013
- [j1]Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
An approach to reservoir computing design and training. Expert Syst. Appl. 40(10): 4172-4182 (2013) - [c21]Ronaldo R. B. de Aquino, Teresa Bernarda Ludermir, Otoni Nóbrega Neto, Aida Araujo Ferreira, Milde M. S. Lira, Manoel A. Carvalho:
Forecasting models of wind power in Northeastern of Brazil. IJCNN 2013: 1-8 - 2012
- [c20]Ronaldo R. B. de Aquino, Hugo T. V. Gouveia, Milde M. S. Lira, Aida Araujo Ferreira, Otoni Nóbrega Neto, Manoel A. Carvalho:
Models Based on Neural Networks and Neuro-Fuzzy Systems for Wind Power Prediction Using Wavelet Transform as Data Preprocessing Method. EANN 2012: 272-281 - [c19]Ronaldo R. B. de Aquino, Hugo T. V. Gouveia, Milde M. S. Lira, Aida Araujo Ferreira, Otoni Nóbrega Neto, Manoel A. Carvalho:
Wind forecasting and wind power generation: Looking for the best model based on artificial intelligence. IJCNN 2012: 1-8 - [c18]Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
Comparing recurrent networks for time-series forecasting. IJCNN 2012: 1-8 - 2011
- [b1]Aida Araujo Ferreira:
Um Método para Design e Treinamento de Reservoir Computing Aplicado à Previsão de Séries Temporais. Federal University of Pernambuco, Recife, Brazil, 2011 - [c17]Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Comparing evolutionary methods for reservoir computing pre-training. IJCNN 2011: 283-290 - [c16]Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Milde M. S. Lira, Otoni Nóbrega Neto, Priscila S. Amorim, Carlos F. D. Diniz, Tatiana M. A. de Silveira:
Short-term load forecasting for electrical regional of a distribution utility considering temperature. IJCNN 2011: 2000-2004 - 2010
- [c15]Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [c14]Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Genetic algorithm for reservoir computing optimization. IJCNN 2009: 811-815 - 2008
- [c13]Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Using Reservoir Computing for Forecasting Time Series: Brazilian Case Study. HIS 2008: 602-607 - [c12]Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino, Milde M. S. Lira, Otoni Nóbrega Neto:
Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term. IJCNN 2008: 1649-1656 - 2007
- [c11]Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Gabriela S. M. Santos, Carlos Alberto B. de O. Lira:
Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network. ICANN (2) 2007: 455-464 - [c10]Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Aida Araujo Ferreira, Katyusco F. Santos:
Using Genetic Algorithm to Develop a Neural-Network-Based Load Forecasting. ICANN (2) 2007: 738-747 - [c9]Ronaldo R. B. de Aquino, Geane B. Silva, Milde M. S. Lira, Aida Araujo Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Josinaldo B. de Oliveira:
Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting. ICANN (2) 2007: 779-788 - [c8]Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Aida Araujo Ferreira, Manoel A. Carvalho, Geane B. Silva, Josinaldo B. de Oliveira:
Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting. IJCNN 2007: 1726-1731 - [c7]Aida Araujo Ferreira, Francisco Nascimento Jr., Ing Ren Tsang, George D. C. Cavalcanti, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism. IJCNN 2007: 1796-1801 - [c6]Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Gabriela S. M. Santos:
Combining Multiple Artificial Neural Networks Using Random Committee to Decide upon Electrical Disturbance Classification. IJCNN 2007: 2863-2868 - 2006
- [c5]Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Manoel A. Carvalho, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto:
Development of a Hybrid Intelligent System for Electrical Load Forecasting. IBERAMIA-SBIA 2006: 228-237 - [c4]Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Manoel A. Carvalho, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto:
Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System. ICANN (2) 2006: 757-766 - [c3]Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto, J. B. Oliveira, Carlos F. D. Diniz, J. Fideles:
A Hybrid Intelligent System for Short and Mid-term Forecasting for the CELPE Distribution Utility. IJCNN 2006: 2656-2661 - [c2]Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida Araujo Ferreira, Manoel A. Carvalho, Carlos Alberto B. de O. Lira:
Improving Disturbance Classification by Combining Multiple Artificial Neural Networks. IJCNN 2006: 3436-3442 - 2005
- [c1]Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses. ICANN (1) 2005: 635-640
Coauthor Index
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