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 ...

An article published on May 26 in Nature’s Scientific Data provides an overview of the project and outlines its significance, which includes data collected from 2008 to 2020. Dr. Denise Park ...

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 ...

Abstract: In undirected graphs with real non-negative weights, we give a new randomized algorithm for the single-source shortest path (SSSP) problem with running ... shows great advantage with much ...

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To uncover the nexus between ADHD and obesity, the research team applied urban scaling laws -- a mathematical framework from complexity science -- to public health data from 915 U.S. cities.