The demo also shows how a trained autoencoder can be deployed on an embedded system ... The way one can use trained autoencoders for anomaly detection is that in normal conditions, when normal data is ...

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: ...

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 ...

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 ...

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 ...

“It will also help raise awareness about the fact that with early detection and timely intervntion, prostate cancer is treatable, even when aggressive,” Dr Annu pointed out. Early detection is ...

Radar systems developed by the state-owned China Electronics Technology Group Corporation (CETC) on display at the 11th World Radio Detection and Ranging Expo (World Radar Expo) on May 17 ...

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 ...