AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Spatial-temporal (ST) forecasting underpins many real-world systems such as traffic, climate, and energy networks. While existing methods implicitly assume strong spatiotemporal coupling, we observe that real-world ST data exhibits distinct coupling regimes, ranging from temporal-dominated and spatial-dominated to stro...
Stationary air quality networks are increasingly being used to refine urban air pollution exposure assessments and inform local government decision-making, yet to date, a comprehensive assessment of the extent to which such measurements provide sufficient spatial resolution to yield meaningful insights in these context...
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