Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes.
Simon B. JensenThomas B. MoeslundSøren J. AndreasenPublished in: CoRR (2022)
Keyphrases
- deep learning
- anomaly detection
- x ray images
- fuel cell
- unsupervised learning
- x ray
- fault detection
- medical images
- intrusion detection
- detecting anomalies
- single view
- intrusion detection system
- machine learning
- one class support vector machines
- anomalous behavior
- weakly supervised
- mental models
- supervised learning
- semi supervised
- three dimensional
- data sets
- multi view
- computational intelligence
- feature selection
- computer vision
- hidden markov models
- active learning
- pairwise