Detection and classification of sensor anomalies for simulating urban traffic scenarios.
Chiara BachechiFederica RolloLaura PoPublished in: Clust. Comput. (2022)
Keyphrases
- anomaly detection
- pattern recognition
- machine learning
- automatic detection
- classification method
- microcalcification clusters
- detection method
- classification accuracy
- decision trees
- feature vectors
- classification algorithm
- neural network
- automatic classification
- pattern classification
- feature extraction
- support vector machine svm
- image classification
- support vector
- sensor data
- text classification
- supervised learning
- digital mammograms
- preprocessing
- sensor networks
- classification scheme
- robust detection
- feature extraction and classification
- classification models
- support vector machine
- mammogram images
- classification systems
- object detection
- benchmark datasets
- detection algorithm