said their innovation could theoretically cut the detection range of hostile sonar systems by more than half. The technology is intended to replace traditional rigid engine mounts with a hybrid ...

Scientists working on the Muon g-2 experiment, hosted by the US Department of Energy’s Fermi National Accelerator Laboratory, have released their third and final measurement of the muon magnetic ...

The very first blood test for Alzheimer's disease detection has been green-lit by the US Food and Drug Administration (FDA), providing a simpler and less invasive method for early diagnosis and ...

SINGAPORE – A new artificial intelligence (AI) system which will reduce the time required for a cardiac scan analysis and allow for faster diagnosis of coronary artery disease will be available ...

Learns the normal patterns in network traffic data Automatically removes highly correlated features Detects anomalies based on reconstruction error Provides ...

real_time_anomaly_detection: Parameters for realtime_detector.py. Outputs: Processed data Parquet file (e.g., processed_metrics_data.parquet) and a saved scaler (e.g., fitted_scaler.joblib). Step 3: ...

Abstract: Ego-centric Traffic Anomaly Detection (TAD) aims to identify abnormal events in videos captured by dashboard-mounted cameras in vehicles. Compared to anomaly detection in roadside ...

Abstract: Accurate anomaly detection in dynamic graph networks suffers due to lack of coverage of all aspects of information; specifically temporal, spatial and centrality based cross-coupled ...

In this study, we applied the anomaly detection method based on sparse structure learning of the element correlation within MD trajectories to identify important features associated with state ...