Coal mine water damage is a major hidden danger of mine safety production, threatening mine safety. In order to effectively prevent water damage, Menkeqing Coal Mine has carried out the research of ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

However, most existing urban anomaly detection methods focus on single time slots and overlook the impact of anomalous events on traffic flow patterns. To this end, we propose a novel urban traffic ...

Real-time Anomaly Detection: Continuously monitors new data and processes it with the trained model to detect anomalies. Prometheus Exporter Integration: Exposes key anomaly detection metrics (e.g., ...

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 ...

Anomaly detection is an analytic process for identifying points of data or events that deviate significantly from established patterns of behavior.

3 Proposed RCLNet for an effective A-IDS The proposed RCLNet scheme is designed as a novel Anomaly-based Intrusion Detection System (A-IDS) tailored for the Internet of Medical Things (IoMT) ...

You can take data from physical sensors, and then use that data for anomaly detection and a lot of other areas like optimization, quality, and increasing the complexity of smart factories. That is the ...