Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...
There's plenty of buzz around how AI can make self-healing networks a reality -- but how close are we to that, really?
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Image-based model enhances the detection of surface defects in low-light industrial settings
In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational ...
On behalf of U.S Customs and Border Protection (CBP) Non-Intrusive Inspection (NII) Division, this Special Notice is to inform vendors of a Virtual Industry Day that CBP will be hosting on January ...
Traditional security measures like firewalls and antivirus software are no longer sufficient to protect organizations from ...
TNO’s advanced detection, threat management, and orchestration expertise ensures that critical IT and OT have sufficient ...
A U.S. Customs and Border Protection officer with the Office of Field Operations adjusts traffic cones as vehicles line up for Non-Intrusive Inspections in a secure area near State Farm Stadium in ...
Artificial Immune Systems (AIS) and anomaly detection algorithms are computational methods inspired by the adaptive and self-regulating properties of the biological immune system. By emulating the ...
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