Explanation of Machine-Learning Solutions in Air-Traffic Management

Explanation of Machine-Learning Solutions in Air-Traffic Management

Advances in the trusted autonomy of air-traffic management (ATM) systems are currently being pursued to cope with the predicted growth in air-traffic densities in all classes of airspace. Highly automated ATM systems relying on artificial intelligence (AI) algorithms for anomaly detection, pattern i...

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Bibliographic Details
Main Authors: Yibing Xie, Nichakorn Pongsakornsathien, Alessandro Gardi, Roberto Sabatini
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Aerospace
Subjects:
explainable AI
machine learning
XGBoost
risk analytics
Online Access:https://www.mdpi.com/2226-4310/8/8/224

Internet

https://www.mdpi.com/2226-4310/8/8/224

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