Identification of Instantaneous Anomalies in General Aviation Operations Using Energy Metrics
Author(s) -
Tejas G. Puranik,
Dimitri N. Mavris
Publication year - 2019
Publication title -
journal of aerospace information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 33
ISSN - 2327-3097
DOI - 10.2514/1.i010772
Subject(s) - aviation , aviation safety , computer science , sliding window protocol , identification (biology) , energy (signal processing) , data mining , engineering , reliability engineering , window (computing) , aerospace engineering , statistics , mathematics , botany , biology , operating system
The quantification and improvement of safety is one of the most important objectives among the general aviation community. In recent years, machine learning techniques have emerged as an important ...
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