Magnetic anomaly detection of adjacent parallel pipelines using deep learning neural networks.
Tao SunXinhua WangJunqiang WangXuyun YangTao MengYi ShuaiYingchun ChenPublished in: Comput. Geosci. (2022)
Keyphrases
- anomaly detection
- deep learning
- neural network
- unsupervised learning
- connectionist systems
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- network traffic
- network anomaly detection
- machine learning
- intrusion detection system
- detect anomalies
- one class support vector machines
- weakly supervised
- pattern recognition
- self organizing maps
- supervised learning
- negative selection algorithm
- mental models
- object recognition
- expectation maximization
- text classification
- knn
- bayesian networks
- image processing