Abstract: We propose a new representation learning solution for the classification of cognitive load based on electroencephalogram (EEG). Our method integrates both time and frequency domains by first ...
The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
Abstract: In the field of remote sensing change detection, the dynamic representation of temporal information and the fusion of multisource features have long been key scientific challenges. To ...
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