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      Deep learning to predict the generation of a wind farm

      1 , 1 , 1
      Journal of Renewable and Sustainable Energy
      AIP Publishing

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          Subject independent facial expression recognition with robust face detection using a convolutional neural network.

          Reliable detection of ordinary facial expressions (e.g. smile) despite the variability among individuals as well as face appearance is an important step toward the realization of perceptual user interface with autonomous perception of persons. We describe a rule-based algorithm for robust facial expression recognition combined with robust face detection using a convolutional neural network. In this study, we address the problem of subject independence as well as translation, rotation, and scale invariance in the recognition of facial expression. The result shows reliable detection of smiles with recognition rate of 97.6% for 5600 still images of more than 10 subjects. The proposed algorithm demonstrated the ability to discriminate smiling from talking based on the saliency score obtained from voting visual cues. To the best of our knowledge, it is the first facial expression recognition model with the property of subject independence combined with robustness to variability in facial appearance.
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            Wind Energy Explained

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              Forecasting with Univariate Box-Jenkins Models

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                Author and article information

                Journal
                Journal of Renewable and Sustainable Energy
                Journal of Renewable and Sustainable Energy
                AIP Publishing
                1941-7012
                January 2018
                January 2018
                : 10
                : 1
                : 013305
                Affiliations
                [1 ]Department of Computer and Systems Engineering, Universidad de La Laguna, 38200 La Laguna, Tenerife, Spain
                Article
                10.1063/1.4995334
                e90dd66e-5ea1-4236-bb72-5af48ffbe042
                © 2018
                History

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