gnnad is a package for anomaly detection on multivariate time series data. This model builds on the recently-proposed Graph Deviation Network (GDN) 1, a graph neural network model that uses embeddings ...

Abstract: We focus on the problem of finding optimal sensor locations for source localization techniques based on either time of arrival (TOA) or received signal strength (RSS) measurements. Without ...

Abstract: Gait analysis is essential for understanding human locomotion patterns and diagnosing gait disorders. While traditional methods typically rely on complex equipment and laboratory settings, ...

If you build engines, tune cars, or even just like mashing your foot on the throttle with conviction, you’ve probably heard the term “wideband O2 sensor” being thrown around at the track, dyno ...