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Found 4 papers, 1 papers with code
GraphDAC: A Graph-Analytic Approach to Dynamic Airspace Configuration
The current National Airspace System (NAS) is reaching capacity due to increased air traffic, and is based on outdated pre-tactical planning.
Zero-bias Deep Neural Network for Quickest RF Signal Surveillance
In this paper, we provide a deep learning framework for RF signal surveillance.
Federated Variational Learning for Anomaly Detection in Multivariate Time Series
Anomaly detection has been a challenging task given high-dimensional multivariate time series data generated by networked sensors and actuators in Cyber-Physical Systems (CPS).
Spatio-Temporal Data Mining for Aviation Delay Prediction
A key role of collaborative decision making for air traffic scheduling and airspace resource management is the accurate prediction of flight delay.
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