Abstract
Through machine learning, this project aims to detect anomalies in flight data to reduce or avoid aircraft accidents.
Keywords:
flight simulation, machine learning, anomaly detection
Status
G
Department
Electrical Engineering and Computer Science
College
Russ College of Engineering and Technology
Campus
Athens
Faculty Mentor
Mourning, Dr. Chad
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
COinS
Detection of Anomalous Aircraft State via Live+Simulated Flight Machine Learning Models
Through machine learning, this project aims to detect anomalies in flight data to reduce or avoid aircraft accidents.