One-Class Convolutional Neural Networks for Water-Level Anomaly Detection.
Isack Thomas NicholausJun-Seoung LeeDae-Ki KangPublished in: Sensors (2022)
Keyphrases
- anomaly detection
- water level
- convolutional neural networks
- control algorithm
- monitoring system
- intrusion detection
- convolutional network
- water quality
- network intrusion detection
- detecting anomalies
- unsupervised anomaly detection
- intrusion detection system
- input variables
- anomalous behavior
- network traffic
- network security
- behavior analysis
- power consumption
- control system
- network anomaly detection
- negative selection algorithm
- dimension reduction
- data sets
- detecting anomalous
- detect anomalies
- network intrusion
- feature extraction
- unsupervised learning
- real time
- image segmentation
- connectionist systems
- cumulative sum
- learning algorithm
- variable selection