Searched for: subject%3A%22deep%255C%252Blearning%22
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Verduzco, Alejandro (author), Páramo Balsa, Paula (author), Gonzalez-Longatt, Francisco (author), Andrade, Manuel A. (author), Acosta Montalvo, Martha Nohemi (author), Rueda, José L. (author), Palensky, P. (author)
This research paper presents a method that uses measurements of voltages angles, as provided by phasor measurement units (PMU), to accurately detect the sudden disconnection of a generation unit from a power grid. Results in this research paper have demonstrated, in a practical fashion, that a multi-layer perceptron (MLP) neural network (NN) can...
conference paper 2022
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Viana, Paula (author), Andrade, Maria Teresa (author), Carvalho, Pedro (author), Vilaça, Luis (author), Teixeira, Inês N. (author), Costa, Tiago (author), Jonker, P.P. (author)
Applying machine learning (ML), and especially deep learning, to understand visual content is becoming common practice in many application areas. However, little attention has been given to its use within the multimedia creative domain. It is true that ML is already popular for content creation, but the progress achieved so far addresses...
journal article 2022