A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: hybrid domain; hand; eeg; eeg sources ... See more keywords
Image Compression Based on Hybrid Domain Attention and Postprocessing Enhancement
Sign Up to like & getrecommendations! 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… read more here.
Keywords: compression; domain attention; hybrid domain; image compression ... See more keywords
Hybrid domain enhancement network for lightweight image super-resolution.
Sign Up to like & getrecommendations! Published in 2025 at "Applied optics"
DOI: 10.1364/ao.559974
Abstract: In recent years, with the rapid development of deep learning, convolutional neural network-based approaches for image super-resolution (SR) have made great progress. However, the majority of these methods have high computational complexity and substantial memory… read more here.
Keywords: frequency; image; hybrid domain; network ... See more keywords