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Found 4 papers, 0 papers with code
Detecting Anomalous Swarming Agents with Graph Signal Processing
Collective motion among biological organisms such as insects, fish, and birds has motivated considerable interest not only in biology but also in distributed robotic systems.
Towards Indirect Top-Down Road Transport Emissions Estimation
In this work, we develop machine learning models that use satellite imagery to perform indirect top-down estimation of road transport emissions.
Graph Signal Processing for Infrastructure Resilience: Suitability and Future Directions
We assess a number of power distribution systems with respect to metrics of signal structure and identify several correlates to system properties and further demonstrate how these metrics relate to performance of some GSP techniques.
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning
Finding the most likely path to a set of failure states is important to the analysis of safety-critical systems that operate over a sequence of time steps, such as aircraft collision avoidance systems and autonomous cars.
