Suchergebnisse - "Deep stacked autoencoder"

Sleep quality of subjects with and without sleep-disordered breathing based on the cyclic alternating pattern rate estimation from single-lead ECG von Mendonça, Fábio, Mostafa, Sheikh Shanawaz, Morgado-Dias, Fernando, Ravelo-García, Antonio G, Penzel, Thomas

“… It is usually assessed using subject self-reporting, a method that has a major limitation since the subject is a poor self-observer of their sleep behaviors …”
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Sleep Quality Analysis with Cardiopulmonary Coupling von Mendonca, Fabio, Mostafa, Sheikh Shanawaz, Morgado-Dias, Fernando, Ravelo-Garcia, Antonio G.

“… Sleep quality is commonly assessed with subject self-reporting, interviews and psychological variables …”
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Advancing aquifer vulnerability mapping through integrated deep learning approaches von Faal, Fatemeh, Nikoo, Mohammad Reza, Ashrafi, Seyed Mohammad, Šimůnek, Jiří

“… For the first time, supervised and unsupervised deep learning models, such as deep neural networks, deep belief networks, deep stacked autoencoders, and convolutional neural networks, are used for vulnerability mapping …”
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