Convolutional Neural Networks (CNN) have become a research hotspot in motor imagery brain-computer interfaces, but their limited receptive field may be deficiencies in handling long-distance dependent ...

In this paper, we propose a gated dilated causal convolution based encoder-decoder (GDCC-ED) model for network traffic forecasting. The GDCC-ED learns a vector representation in the encoder from ...