Abstract: Autoencoder (AE) is extensively utilized in hyperspectral anomaly detection (HAD) tasks owing to its robust feature extraction and image reconstruction capabilities. However, AE lacks ...
Abstract: Anomaly detection in system software traditionally relies on single-modal algorithms that analyze either discrete log events or continuous performance metrics in isolation, potentially ...
face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...
A machine learning system for detecting unusual market behaviour in daily equity price and volume data. The system identifies anomalous stock-days and market-wide stress periods using unsupervised ...
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