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Mostrando ítems 11-20 de 265
Two - pass end-to-end: Rnn-T-Las Vs. Lstm-Las
(Universidad Nacional de San Agustín de ArequipaPE, 2021)
El reconocimiento de voz se ha convertido en una funcionalidad obligatoria para diversos dispositivos y aplicaciones. Sin embargo, aún no se ha desarrollado la implementación más óptima que genere los mejores resultados. ...
Estratégias de Controle Preditivo Estocástico e Tolerante a Falhas aplicadas a Campos Solares
(Florianópolis, SC., 2019)
Prediction of imports of household appliances in Ecuador using LSTM networks
(Springer Nature Switzerland AG 2020, 2020)
Time series forecasting is an important topic widely addressed with traditional statistical models such as regression, and moving average. This work uses the state-of-the-art Long Short-Term Memory (LSTM) Networks to predict ...
Limits of a prediction model using RNN with four layers LSTM for CRDS data
(Universidad de Magallanes, 2022)
Pronóstico de la irradiación solar horaria en Uruguay y sur de Brasil utilizando redes neuronales recurrentes
(ABENS, Associação Brasileira de Energia Solar, 2020)
El aumento de la penetración de la energía solar fotovoltaica (PV) en las redes eléctricas requiere
el uso de técnicas de pronóstico de la irradiación solar tendientes a un despacho eficiente de la generación,
optimizando ...
Attention-based Multi-modal Sentiment Analysis and Emotion Detection in Conversation using RNN
The availability of an enormous quantity of multimodal data and its widespread applications, automatic sentiment analysis and emotion classification in the conversation has become an interesting research topic among the ...
Two - pass end-to-end: Rnn-T-Las Vs. Lstm-Las
(Universidad Nacional de San Agustín de ArequipaPE, 2022)
Dynamic model and experimental study of an air-water heat pump for residential use
(Elsevier Sci LtdOxfordInglaterra, 2013)
Numerical simulation of a variable speed refrigeration system
(Elsevier Sci LtdOxfordInglaterra, 2001)