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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 ...
Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...
BETHESDA, Md., Nov. 17, 2021 /PRNewswire/ -- Brivo – a global leader in cloud-based access control and smart building technologies – today announced the release of Anomaly Detection in its flagship ...
Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...
Saurabh is the Vice President & Head of Digital Modalities at SAP, leading AI adoption to increase sales & business development productivity. In our globalized economy, supply chains are the lifelines ...
Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
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