Anomaly detection of train wheels utilizing short-time Fourier transform and unsupervised learning algorithms.
Ting Hei WanChi Wai TsangKing HuiEdward ChungPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- anomaly detection
- short time fourier transform
- unsupervised anomaly detection
- learning algorithm
- unsupervised learning
- supervised learning
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- machine learning
- network traffic
- intrusion detection system
- active learning
- learning problems
- semi supervised
- straight line
- reinforcement learning
- training data
- network anomaly detection
- detect anomalies
- cumulative sum
- computer vision
- data mining
- one class support vector machines
- text classification
- principal component analysis
- learning process
- similarity measure