LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data.
Yuanyuan WeiJulian Jang-JaccardWen XuFariza SabrinaSeyit CamtepeMikael BoulicPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- air quality
- air pollution
- intrusion detection
- detecting anomalies
- recurrent neural networks
- detect anomalies
- network intrusion detection
- network traffic
- anomalous behavior
- environmental monitoring
- traffic flow
- urban areas
- network security
- intrusion detection system
- streaming data
- one class support vector machines
- network anomaly detection
- cumulative sum
- image processing
- unsupervised learning
- sensor networks
- image sequences