Anomaly detection with vision-based deep learning for epidemic prevention and control.
Hooman SamaniChan-Yun YangChunxu LiChia-Ling ChungShaoxiang LiPublished in: J. Comput. Des. Eng. (2021)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- network traffic
- intrusion detection system
- unsupervised feature learning
- network anomaly detection
- machine learning
- one class support vector machines
- negative selection algorithm
- computer vision
- maximum likelihood
- detect anomalies