Sökning: "performance anomalies"

Visar resultat 16 - 20 av 121 uppsatser innehållade orden performance anomalies.

1. 16. 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. 17. Anomaly detection in Cyber-Physical Systems based on Hardware Performance Counters

   Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Alexander Kristian; [2023]
   Nyckelord :ARM; anomaly detection; CPS; assembly;

   Sammanfattning : In this project work the basis for an anomaly detection system in ARM processors was researched on. Specifically, the focus was set to determine the performance monitoring units (PMU) in the processor which allow the reliable detection of anomalies. LÄS MER

4. 18. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks

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

   Författare :Rémi Bourgerie; [2023]
   Nyckelord :5G 4G; Federated Learning; Graoh Learning; Graph-based Federated Learning; Temporal Graph Neural Networks; Time Series; Anomaly Detection; Fault Detection; 5G 4G; Federerat lärande; Graf lärande; Grafbaserat federerat lärande; Temporal Graph Neural Networks; Tidsserier; Upptäckt av anomalier; Upptäckt av fel;

   Sammanfattning : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. LÄS MER

5. 19. Feature Selection for Sensor Failure Detection in Manufacturing Environment

   Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Victor Knutmejer; Hannes Elfving; [2023]
   Nyckelord :AI; Artificiell Intelligens; Maskininlärning; Feature Selection;

   Sammanfattning : Automated manufacturing environments often benefit greatly from the ability to detect patterns that deviate from expected behavior. Anomaly Detection (AD) is vital in automated manufacturing to mitigate risks such as production delays, defects, and safety hazards, ensuring smooth operations and optimal productivity. LÄS MER

7. 20. Deep Learning Based Out-of-focus Detection on Surveillance Footage

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Hanna Bengtsson; Teodora Kerac; [2023]
   Nyckelord :Deep Learning; CNN; Out-of-focus detection; Mathematics and Statistics;

   Sammanfattning : Loss of focus in surveillance cameras can occur due to factors such as environmental aspects, sabotage or system errors. The focus loss leads to degraded footage that is of no use for either post-investigation or automatic video analysis. LÄS MER