Deep Learning-based Anomaly Detection on X-Ray Images of Fuel Cell Electrodes.
Simon B. JensenThomas B. MoeslundSøren J. AndreasenPublished in: VISIGRAPP (4: VISAPP) (2022)
Keyphrases
- deep learning
- x ray images
- anomaly detection
- fuel cell
- unsupervised learning
- x ray
- fault detection
- medical images
- intrusion detection
- detecting anomalies
- intrusion detection system
- machine learning
- anomalous behavior
- one class support vector machines
- single view
- supervised learning
- multi view
- dimensionality reduction
- semi supervised
- fault diagnosis
- mental models
- knowledge discovery
- detect anomalies
- image sequences
- weakly supervised
- bayesian networks
- data sets
- expectation maximization