Anomaly Detection in Multi-Wavelength Photoplethysmography Using Lightweight Machine Learning Algorithms.
Vlad-Eusebiu BaciuJoan Lambert CauseÁngel Solé MorilloJuan C. García-NaranjoJohan StiensBruno da SilvaPublished in: Sensors (2023)
Keyphrases
- lightweight
- machine learning algorithms
- anomaly detection
- benchmark data sets
- intrusion detection
- learning algorithm
- decision trees
- detecting anomalies
- network traffic
- network intrusion detection
- learning problems
- machine learning
- one class support vector machines
- anomalous behavior
- machine learning methods
- network anomaly detection
- intrusion detection system
- machine learning approaches
- unsupervised learning
- machine learning models
- network security
- training data
- active learning
- detect anomalies
- statistical machine learning
- reinforcement learning
- bayesian networks