A Duo Autoencoder-SVM based Approach for Secure Performance Monitoring of Industrial Conveyor Belt System.
Thulasi M. SanthiK. SrinivasanPublished in: Comput. Chem. Eng. (2023)
Keyphrases
- conveyor belt
- support vector machine svm
- support vector
- real time
- densely packed
- industrial applications
- industrial systems
- monitoring system
- multi class
- support vector machine
- knn
- early warning
- feature selection
- high speed
- training data
- svm classifier
- maximum margin
- fault diagnosis
- generalization ability
- hyperplane
- machine learning
- kernel function
- probabilistic model
- decision trees
- feature extraction
- cryptographic protocols
- user authentication
- feature vectors
- key management
- security mechanisms
- text classifiers
- privacy preserving
- multi class classification
- security issues
- ls svm
- k nearest neighbor
- anomaly detection
- lightweight
- radial basis function
- classification algorithm