Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks.
Yann CherdoBenoît MiramondAlain PegatoquetAlain VallauriPublished in: Sensors (2023)
Keyphrases
- convolutional neural networks
- unsupervised anomaly detection
- anomaly detection
- sensor networks
- data fusion
- convolutional network
- sensor data
- non stationary
- sensor fusion
- small number
- decision trees
- real time
- active learning
- pattern recognition
- stock market
- feed forward
- recurrent neural networks
- autoregressive
- machine learning
- neural network
- data sets