Listar por tema "Recurrent neural networks"
Mostrando ítems 1-6 de 6
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Classification of Driving Behaviour using Short-term and Long-term Summaries of Sensor Data
(2020)The classification of driving behaviour is important for monitoring driving risk and fuel efficiency, as well as for adaptive driving assistance and car insurance industry. Starting from raw measurements of acceleration ... -
Deep sensorimotor learning for RGB-D object recognition
(2020)Research findings in cognitive neuroscience establish that humans, early on, develop their understanding of real-world objects by observing others interact with them or by performing active exploration and physical ... -
Effective products categorization with importance scores and morphological analysis of the titles
(2018)During the past few years, the e-commerce platforms and marketplaces have enriched their services with new features to improve their user experience and increase their profitability. Such features include relevant products ... -
Interaction between two cells based on a recurrent neural network using the impedance concept
(2021)In this paper the dynamic behavior of the cells of the immune system is studied through the use of a mathematical and physical model developed using artificial neural networks. Simulations were obtained by solving the ... -
RNNs for Classification of Driving Behaviour
(2019)Recurrent neural networks are an obvious choice for driving behavior analysis by means of time series of measurements, obtained either from telematics or mobile phone sensors. This work investigates such an application, ... -
Switching Gaussian Mixture Variational RNN for Anomaly Detection of Diverse CDN Websites
(2022)To conduct service quality management of industry devices or Internet infrastructures, various deep learning approaches have been used for extracting the normal patterns of multivariate Key Performance Indicators (KPIs) ...