Listar por tema "LSTM"
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Análisis comparativo de arquitecturas de aprendizaje profundo para odometría visual
(23/09/2020)Una de las principales líneas de investigación en las áreas de la robótica, es el desarrollo de técnicas que permitan que los robots sean capaces de desplazarse autónomamente en diferentes entornos. Con el fin de que el ... -
Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections
(Applied soft computing, 2021)Virus diseases are a continued threat to human health in both community and healthcare settings. The current virus disease COVID-19 outbreak raises an unparalleled public health issue for the world at large. Wuhan is the ... -
Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation
(International Journal of Interactive Multimedia and Artificial Intelligence, 11/2023)Optimising the use of the photovoltaic (PV) energy is essential to reduce fossil fuel emissions by increasing the use of solar power generation. In recent years, research has focused on physical simulations or artifical ... -
Web Traffic Time Series Forecasting Using LSTM Neural Networks with Distributed Asynchronous Training
(Mathematics, 2021)Evaluating web traffic on a web server is highly critical for web service providers since, without a proper demand forecast, customers could have lengthy waiting times and abandon that website. However, this is a challenging ...
