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Visar resultat 1 - 5 av 337 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Towards Automated Log Message Embeddings for Anomaly Detection

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Adrian Murphy; Daniel Larsson; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Log messages are implemented by developers to record important runtime information about a system. For that reason, system logs can provide insight into the state and health of a system and potentially be used to anticipate and discover errors. LÄS MER

  3. 2. Visualization and analysis of object states using diffusion models and PyTorch

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

    Författare :Christopher Nyberg; [2024]
    Nyckelord :;

    Sammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER

  4. 3. Log Frequency Analysis for Anomaly Detection in Cloud Environments

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Prathyusha Bendapudi; [2024]
    Nyckelord :Log Analysis; Log Frequency Patterns; anomaly detection; machine learning; cloud environments;

    Sammanfattning : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. LÄS MER

  5. 4. Audio Anomaly Detection in Cars

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Asma Hussein; [2023-09-11]
    Nyckelord :Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

    Sammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER

  7. 5. A Software Process Workflow for Smart Anomaly Detection Systems

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Vernita Gouws; [2023-08-16]
    Nyckelord :anomaly detection; predictive maintenance; machine learning; workflow; software engineering process; lifecycle;

    Sammanfattning : The use of smart anomaly detection systems is set to increase at organisations during the Industry 4.0 era, for use in Predictive Maintenance (PdM). LÄS MER