Enhanced Anomaly Detection in Manufacturing Processes Through Hybrid Deep Learning Techniques.
Kyung Sung LeeSeong Beom KimHee-Woong KimPublished in: IEEE Access (2023)
Keyphrases
- anomaly detection
- deep learning
- manufacturing processes
- unsupervised learning
- intrusion detection
- manufacturing systems
- anomalous behavior
- detecting anomalies
- product quality
- machine learning
- network traffic
- intrusion detection system
- network intrusion detection
- mathematical models
- detect anomalies
- artificial intelligence
- one class support vector machines
- weakly supervised
- quality control
- rapid prototyping
- real world
- supervised learning
- pattern recognition
- negative selection algorithm
- semi supervised
- information systems