Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data.
Anthony GeglioEisa HedayatiMark TascilloDyche AndersonJonathan BarkerTimothy C. HavensPublished in: SSCI (2022)
Keyphrases
- sensor data
- deep learning
- restricted boltzmann machine
- low cost sensors
- sensor networks
- deep belief networks
- data streams
- unsupervised feature learning
- sensor measurements
- anomaly detection
- raw sensor data
- human activities
- multiple sensors
- smart environments
- health monitoring
- ground surface
- real time
- sensor readings
- unsupervised learning
- stream data
- low cost
- sensor data streams
- sensory data
- sliding window