Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward.
Mehdi Jabbari ZidehParoma ChatterjeeAnurag K. SrivastavaPublished in: IEEE Access (2024)
Keyphrases
- anomaly detection
- machine learning
- data sets
- clustering analysis
- unsupervised learning
- data sources
- data points
- feature selection
- computer systems
- data processing
- text classification
- input data
- computer vision
- intrusion detection
- data analysis
- detect anomalies
- support vector
- correlation analysis
- network intrusion detection
- network anomaly detection
- data mining techniques
- natural language processing
- knowledge discovery
- feature vectors
- pattern recognition
- feature extraction