Leveraging Machine Learning for Anomaly Detection and Trajectory Prediction in ADS-B Data

Presenter Information

Tasmia Tahnim

Abstract

Applying machine learning techniques to enhance anomaly detection and flight path prediction using Automatic Dependent Surveillance-Broadcast (ADS-B) data

Status

Graduate

Department

Electrical Engineering and Computer Science

College

Russ College of Engineering and Technology

Campus

Athens

Faculty Mentor

Chad Mourning

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Leveraging Machine Learning for Anomaly Detection and Trajectory Prediction in ADS-B Data

Applying machine learning techniques to enhance anomaly detection and flight path prediction using Automatic Dependent Surveillance-Broadcast (ADS-B) data