Sökning: "Defektklassifikation"

Hittade 2 uppsatser innehållade ordet Defektklassifikation.

1. 1. Semi-supervised anomaly detection in mask writer servo logs : An investigation of semi-supervised deep learning approaches for anomaly detection in servo logs of photomask writers

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Toomas Liiv; [2023]
   Nyckelord :anomaly detection; semi-supervision; HSC; DeepSAD; photomasks; anomalidetektion; semi-övervakad; HSC; DeepSAD; fotomasker;

   Sammanfattning : Semi-supervised anomaly detection is the setting, where in addition to a set of nominal samples, predominantly normal, a small set of labeled anomalies is available at training. In contrast to supervised defect classification, these methods do not learn the anomaly class directly and should have better generalization capability as new kinds of anomalies are introduced at test time. LÄS MER

3. 2. Developing a Simplified and Consistent Defect Taxonomy for Smaller Enterprises

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Johanna Iivanainen; [2021]
   Nyckelord :Defect Taxonomy; Defect Classification; Small- and Medium-sized Enterprises; Software Defects; Manual Defect Classification.; Defekttaxonomi; Defektklassifikation; Små och medelstora företag; Mjukvarufel; Manuell defektklassificering.;

   Sammanfattning : Developing software that meets the customers’ requirements, expectations, and quality standards is a challenging task for all software organizations. As modern software becomes more and more complex, so do the defects of the software. LÄS MER