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Data-driven decentralized algorithm for wind farm control with population-games assistance
(Multidisciplinary Digital Publishing Institute, 2019-03)
In wind farms, the interaction between turbines that operate close by experience some problems in terms of their power generation. Wakes caused by upstream turbines are mainly responsible of these interactions, and the ...
Attribute selection impact on linear and nonlinear regression models for crop yield prediction
(Hindawi Publishing Corporation, 2014)
Towards vegetation species discrimination by using data-driven descriptors
(Ieee, 2016-01-01)
In this paper, we analyse the use of Convolutional Neural Networks (CNNs or ConvNets) to discriminate vegetation species with few labelled samples. To the best of our knowledge, this is the first work dedicated to the ...
Towards vegetation species discrimination by using data-driven descriptors
(2017-02-28)
In this paper, we analyse the use of Convolutional Neural Networks (CNNs or ConvNets) to discriminate vegetation species with few labelled samples. To the best of our knowledge, this is the first work dedicated to the ...
Fast feature selection based on cluster validity index applied on data-driven bearing fault detection
(Institute of Electrical and Electronics Engineers Inc., 2020)
The Prognostics and Health Management (PHM) approach aims to reduce potential failures or machine downtime by determining the system state through the identification of the signals changes produced by the system's faults. ...