Feb 21, 2022 · To improve the relevance of EEG data, this paper proposes a feature selection algorithm of EEG data based on GPU technology. ... Finally, ...

To improve the relevance of EEG data, this paper proposes a feature selection algorithm of EEG data based on GPU technology. ... Finally, principal component ...

To improve the relevance of EEG data, this paper proposes a feature selection algorithm of EEG data based on GPU technology. This method takes the whole gene ...

In this article, we have proposed an EMD-based fast decomposition method to improve the decomposition of the EEG signal. Such decomposition helps to ...

Fast feature selection algorithm of EEG data based on GPU technology. B Liu, H Deng, T Fang, M Chen. International Journal of Embedded Systems 14 (6), 602-610 ...

2021 Vol.14 No.6 ; Additional Paper ; 602-610, Fast feature selection algorithm of EEG data based on GPU technology. Bin Liu; Han Deng; Tianke Fang; Meixuan Chen

Aug 15, 2024 · Feature selection is a subfield of data analysis that is on reducing the dimensionality of datasets, so that subsequent analyses over them ...

Jul 3, 2012 · We propose a fast implementation using GPUs keeping the original algorithm intact, including the selection criteria for lrate. 3. Material ...

The goal of this study is to use the advantages of feature maps that can be used to represent spatial and spectral information for every of the five used EEG ...

The DL model generates a large number of features and requires a significant amount of memory and computational time to process these features. The number of ...