Anomaly detection (AD) of gearboxes is essential for ensuring the operational safety and reliability of the loader. However, identifying anomalies in non-stationary signals remains challenging as ...

Hybrid intrusion detection uses the combination of signature-based detection and anomaly-based detection to create multiple protection layers for a system. Stateful protocol analysis traces the ...

Short description of current behavior The larger the amount of data during training, the greater the array at index 0 has size value in error boosting： ...

An unsupervised autoencoder approach achieves moderate success for anomaly detection (accuracy = 0.881) but struggles with recall (0.070). These findings highlight the trade-off between detection ...

Prometheus Exporter Integration: Exposes key anomaly detection metrics (e.g., reconstruction error, anomaly flag) that can be scraped by Prometheus. Simplified Workflow: Uses uv for ultra-fast ...

However, the potting process is irreversible; defects lead to costly scrap and operational delays. For this reason, this study introduces an anomaly detection method for the transponder potting ...

Acceldata, a leading provider of data observability and agentic data management solutions, is announcing a new capability designed to amplify the power of agentic reasoning within the company's xLake ...

The company has identified itself as vendor “P8” in anonymized RIVTD Track 3: Liveness Detection, one of 15 participating passive PAD vendors.