Sensor Anomaly Detection

Objective: To detect unusual behavior in a sensor-monitored network.
Method: Established a baseline machine learning model predicting expected sensor
readings, using deviations from this model to flag anomalies. Enhanced detection
accuracy with a Graph Neural Network, analyzing the connectivity between sensors
and observable areas.