River Flooding Forecasting and Anomaly Detection Based on Deep Learning.
Scott MiauWei-Hsi HungPublished in: IEEE Access (2020)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- anomalous behavior
- machine learning
- network traffic
- weakly supervised
- mental models
- intrusion detection system
- network intrusion detection
- detecting anomalies
- detect anomalies
- semi supervised
- network anomaly detection
- one class support vector machines
- neural network
- dimensionality reduction
- supervised learning
- object recognition
- normal behavior
- higher order
- high resolution
- data sets
- negative selection algorithm