HIGHLIGHTS
- who: Clemens Meiser from the Department of Mathematics, Saarland University, Saarbru00fccken, Germany have published the paper: Learned Anomaly Detection with Terahertz Radiation in Inline Process Monitoring, in the Journal: (JOURNAL)
- what: The authors focus on plastics and ceramics for which is perfectly suited because of its characteristics and propose a density based technique to automatically detect anomalies in the measured data. The authors evaluate measurements of THz radiation scans from an inline process with an ML technique called anomaly detection (AD) to test its applicability in inline monitoring, and, more precisely, the detection of defects . . .
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