Real-time anomaly detection in IoT streams through spatiotemporal patterns

Computer Science

• Internet-Of-Things 100%
• Anomaly Detection 100%
• Feature Extraction 25%
• Convolutional Neural Network 25%
• Recurrent Neural Network 25%
• Interpretability 25%
• Data Distribution 25%
• Dynamic Behavior 25%
• High Dimensionality 25%
• Performance Degradation 25%
• SHapley Additive exPlanation 25%
• Data Stream 25%
• Graph Neural Network 25%
• Convolutional LSTM 25%
• Swin Transformer 25%
• Deep Learning Framework 25%