Browsing Master Theses & Projects by Subject "Anomaly detection"
Now showing items 1-2 of 2
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Deep learning models for defect and anomaly detection on industrial surfaces
(2023-12-01)Automated quality control is essential across various industries to reduce manual inspection and improve operational efficiency. While there are advances in computer vision and machine learning for defect detection, ... -
Incremental learning algorithm for anomaly detection applied to computed tomography scans in nuclear industry
(2022-12-01)During routine nuclear power plant (NPP) inspection, each maintenance tool is inspected manually before and after use on a nuclear reactor. This could result in long inspection duration (up to months), time, and resource ...