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Universities, Inclusive Development and Social Innovation: An International Perspective

1, 2016

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Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System

Artificial Neural Networks – ICANN 2006, 2006, p.757-766

2006

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Development of a Hybrid Intelligent System for Electrical Load Forecasting

Advances in Artificial Intelligence - IBERAMIA-SBIA 2006, 2006, p.228-237

2006

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Cardiac Troponin T and Illness Severity in the Very-Low-Birth-Weight Infant

International journal of pediatrics, 2012-01, Vol.2012 (2012), p.1-5

2012

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Echo state networks, artificial neural networks and fuzzy systems models for improve short-term wind speed forecasting

2015 International Joint Conference on Neural Networks (IJCNN), 2015, p.1-8

2015

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Recurrent neural networks solving a real large scale mid-term scheduling for power plants

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010, p.1-6

2010

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Improving reservoir based wind power forecasting with ensembles

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014, p.946-952

2014

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Models Based on Neural Networks and Neuro-Fuzzy Systems for Wind Power Prediction Using Wavelet Transform as Data Preprocessing Method

Engineering Applications of Neural Networks, p.272-281

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Assessment of power curves in models of wind power forecasting

2016 International Joint Conference on Neural Networks (IJCNN), 2016, p.3915-3922

2016

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Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting

Artificial Neural Networks – ICANN 2007, p.779-788

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Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network

Artificial Neural Networks – ICANN 2007, p.455-464

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Investigating the use of Echo State Networks for prediction of wind power generation

2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES), 2014, p.148-154

2014

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Forecasting models of wind power in Northeastern of Brazil

The 2013 International Joint Conference on Neural Networks (IJCNN), 2013, p.1-8

2013

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Application of wavelet and neural network models for wind speed and power generation forecasting in a Brazilian experimental wind park

2009 International Joint Conference on Neural Networks, 2009, p.172-178

2009

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Wind forecasting and wind power generation: Looking for the best model based on artificial intelligence

The 2012 International Joint Conference on Neural Networks (IJCNN), 2012, p.1-8

2012

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Solving a real large scale mid-term scheduling for power plants via hybrid intelligent neural networks systems

The 2011 International Joint Conference on Neural Networks, 2011, p.785-792

2011

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On Efficient Implementation of Interior-Point Based Optimal Power Flows in Rectangular Coordinates

2006 IEEE PES Power Systems Conference and Exposition, 2006, p.1747-1752

2006

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Modeling and analysis of naturally saturated reactors in optimal power flow studies

2011 IEEE/PES Power Systems Conference and Exposition, 2011, p.1-8

2011

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Combining Multiple Artificial Neural Networks Using Random Committee to Decide upon Electrical Disturbance Classification

2007 International Joint Conference on Neural Networks, 2007, p.2863-2868

2007

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Improving Disturbance Classification by Combining Multiple Artificial Neural Networks

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006, p.3436-3442

2006

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Brazilian recommendations of mechanical ventilation 2013. Part I

Jornal brasileiro de pneumologia, 2014-07, Vol.40 (4), p.327-363

2014

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Challenges of Rising Inequalities and the Quest for Inclusive and Sustainable Development

Universities, Inclusive Development and Social Innovation, 2016, p.9-48

2016

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Role of Universities for Inclusive Development and Social Innovation: Experiences from Denmark

Universities, Inclusive Development and Social Innovation, 2016, p.369-385

2016

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Universities, Inclusive Development, and Social Innovation: Does That Debate Matter in Cuba?

Universities, Inclusive Development and Social Innovation, 2016, p.125-146

2016

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Investigating Social Inclusiveness of Universities in Latvia: Policy Discourse and University Practices

Universities, Inclusive Development and Social Innovation, 2016, p.311-347

2016

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Universities, Inclusive Development and Social Innovation: An International Perspective

Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System

Development of a Hybrid Intelligent System for Electrical Load Forecasting

Cardiac Troponin T and Illness Severity in the Very-Low-Birth-Weight Infant

Echo state networks, artificial neural networks and fuzzy systems models for improve short-term wind speed forecasting

Recurrent neural networks solving a real large scale mid-term scheduling for power plants

Improving reservoir based wind power forecasting with ensembles

Models Based on Neural Networks and Neuro-Fuzzy Systems for Wind Power Prediction Using Wavelet Transform as Data Preprocessing Method

Assessment of power curves in models of wind power forecasting

Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting

Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network

Investigating the use of Echo State Networks for prediction of wind power generation

Forecasting models of wind power in Northeastern of Brazil

Application of wavelet and neural network models for wind speed and power generation forecasting in a Brazilian experimental wind park

Wind forecasting and wind power generation: Looking for the best model based on artificial intelligence

Solving a real large scale mid-term scheduling for power plants via hybrid intelligent neural networks systems

On Efficient Implementation of Interior-Point Based Optimal Power Flows in Rectangular Coordinates

Modeling and analysis of naturally saturated reactors in optimal power flow studies

Combining Multiple Artificial Neural Networks Using Random Committee to Decide upon Electrical Disturbance Classification

Improving Disturbance Classification by Combining Multiple Artificial Neural Networks

Brazilian recommendations of mechanical ventilation 2013. Part I

Challenges of Rising Inequalities and the Quest for Inclusive and Sustainable Development

Role of Universities for Inclusive Development and Social Innovation: Experiences from Denmark

Universities, Inclusive Development, and Social Innovation: Does That Debate Matter in Cuba?

Investigating Social Inclusiveness of Universities in Latvia: Policy Discourse and University Practices

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