Real-Time Anomaly Detection in Grinding Wheels Using a Multimodal Deep Learning Framework.
Qiaoyun ZhangWan-Chi YangHsiang-Chuan ChangChia-Ling HoChih-Yung ChangPublished in: I-DO (2024)
Keyphrases
- anomaly detection
- deep learning
- intrusion detection
- unsupervised learning
- network intrusion detection
- network anomaly detection
- network traffic
- intrusion detection system
- data assimilation
- detecting anomalies
- one class support vector machines
- object recognition
- anomalous behavior
- learning algorithm
- mental models
- bayesian networks
- face recognition
- decision trees
- computer vision