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Published in 2021 at "International journal of neural systems"
DOI: 10.1142/s0129065721500386
Abstract: In this paper, a hybrid-domain deep learning (DL)-based neural system is proposed to decode hand movement preparation phases from electroencephalographic (EEG) recordings. The system exploits information extracted from the temporal-domain and time-frequency-domain, as part of…
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Keywords:
hybrid domain;
hand;
eeg;
eeg sources ... See more keywords
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1
Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4926124
Abstract: Deep learning-based image compression methods have made significant achievements recently, of which the two key components are the entropy model for latent representations and the encoder-decoder network. Both the inaccurate estimation of the entropy estimation…
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Keywords:
compression;
domain attention;
hybrid domain;
image compression ... See more keywords