Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model
Deep generative learning cannot only be used for generating new data with statistical
characteristics derived from input data but also for anomaly detection, by separating nominal …
characteristics derived from input data but also for anomaly detection, by separating nominal …
ANALISIS EFEKTIVITAS FLIGHT OPERATION QUALITY ASSURANCE (FOQA) TERHADAP PENINGKATAN KESELAMATAN PENERBANGAN
JM MARSA, S SUNGKONO… - JURNAL …, 2024 - journal.universitassuryadarma.ac.id
In 2008, the International Civil Aviation Organization (ICAO), an international aviation
authority under the United Nations (UN), amended the aviation safety document. The …
authority under the United Nations (UN), amended the aviation safety document. The …
Contributing Factors to Low Airspeed on Climbout Events as a Precursor to Loss of Control Within the National General Aviation Flight Information Database
OD Poborsky - 2024 - search.proquest.com
The nature of aviation is not without inherent risk. Conducting flight training operations
increases the overall risks due to inexperience of the student pilot and the challenges of the …
increases the overall risks due to inexperience of the student pilot and the challenges of the …
[引用][C] Development of a Methodology for Flight Data Reproduction in a Simulation/Visualization Software
GA São Pedro - 2022