Abstract: Graph neural networks (GNNs) are good at capturing the intricate topologies and dependencies among components and are outstanding in fault diagnosis tasks of complex industrial process. Bias ...
Abstract: This paper investigates the routing problem in the mega low earth orbit (mLEO) satellite constellations considering factors including distribution of the users, topology of the networks and ...
Pynaviz provides interactive, high-performance visualizations designed to work seamlessly with Pynapple time series and video data. It allows synchronized exploration of neural signals and behavioral ...
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