Automated Anomaly Detection for Surface Defects by Dual Generative Networks With Limited Training Data.
Chao ZhangWenting DaiValerio IsoniAlexei SourinPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- anomaly detection
- training data
- intrusion detection
- unsupervised learning
- detecting anomalies
- surface defects
- network intrusion detection
- anomalous behavior
- intrusion detection system
- network traffic
- supervised learning
- network security
- unsupervised anomaly detection
- network anomaly detection
- one class support vector machines
- surface inspection
- decision trees
- social networks
- data sets
- detecting anomalous
- negative selection algorithm
- detect anomalies
- computer networks
- learning algorithm
- training set
- probabilistic model
- computer vision
- machine vision
- image segmentation
- support vector
- pattern recognition
- machine learning