Sökning: "Anomaly Based"
Visar resultat 1 - 5 av 259 uppsatser innehållade orden Anomaly Based.
1. Towards Automated Log Message Embeddings for Anomaly Detection
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : 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
2. Visualization and analysis of object states using diffusion models and PyTorch
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : 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
3. Log Frequency Analysis for Anomaly Detection in Cloud Environments
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : 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
4. Lek eller dödligt allvar - En jämförelse av astragaler i gravsammanhang i Magna Graecia
Kandidat-uppsats, Lunds universitet/Antikens kultur och samhällslivSammanfattning : The occurrence of astragali, knuckle-bones, in the Mediterranean world has been observed for a long time. Despite this, the distribution of astragali in the western Mediterranean has been somewhat overlooked. This paper aims to create an overview of the occurrence of astragali, knuckle-bones, in burial contexts in Magna Graecia. LÄS MER
5. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER