Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor Data.
Doyun KimTae-Young HeoPublished in: Sensors (2022)
Keyphrases
- sensor data
- anomaly detection
- machine learning
- feature extraction
- network anomaly detection
- location information
- intrusion detection
- sensor networks
- network intrusion detection
- anomalous behavior
- feature selection
- data streams
- pattern recognition
- human activities
- detecting anomalies
- sensor measurements
- intrusion detection system
- one class support vector machines
- computer vision
- dimensionality reduction
- network traffic
- feature vectors
- smart environments
- sensor readings
- data mining
- unsupervised learning
- decision trees
- health monitoring
- cloud computing
- detect anomalies
- principal component analysis
- management system
- cumulative sum
- raw sensor data
- learning algorithm
- model selection
- image processing
- simulation model
- transfer learning
- fault diagnosis
- sensor web
- wireless sensor networks
- hidden markov models
- face recognition
- image sequences