A Multisensor Cycle-Supervised Convolutional Neural Network for Anomaly Detection on Magnetic Flux Leakage Signals.
Lin JiangHuaguang ZhangJinhai LiuXiangkai ShenHang XuPublished in: IEEE Trans. Ind. Informatics (2022)
Keyphrases
- anomaly detection
- multi sensor
- convolutional neural network
- data fusion
- unsupervised learning
- infrared
- intrusion detection
- face detection
- network intrusion detection
- detecting anomalies
- semi supervised
- intrusion detection system
- image fusion
- anomalous behavior
- neural network
- network anomaly detection
- network traffic
- supervised learning
- one class support vector machines
- learning algorithm
- detect anomalies
- negative selection algorithm
- gamma distributions
- hidden markov models
- computer vision
- data mining
- cumulative sum
- visual information
- dimensionality reduction
- machine learning