The need to develop a universal definition of neural data and a comprehensive assessment of what regulations will best protect brain data, collected from direct-to-consumer devices, against a data ...

This requires models to have cognition of the characteristics of traffic data. However, current deep learning models based on spatiotemporal networks typically employ single-scale graph convolutions ...

Abstract: This paper investigates the fundamental limits for compressing data on graphs, exploiting dependencies due to community structures in the graph. The source model, referred to as the data ...

This data can be displayed in a frequency chart. Image caption, The colours of cars go in the left-hand column. The tally will go in the middle column, and the frequency can be added in once all ...