Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring
Top Cited Papers
- 1 March 2016
- journal article
- research article
- Published by Elsevier BV in Transportation Research Part C: Emerging Technologies
- Vol. 64, 45-57
- https://doi.org/10.1016/j.trc.2016.01.007
Abstract
No abstract availableKeywords
Funding Information
- Federal Aviation Administration (FAA 11-G-016)
- National Aeronautics and Space Administration (NNA06CN23A)
- City University of Hong Kong Start-up (7200418)
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