Essays about: "outlier detection"
Showing result 1 - 5 of 75 essays containing the words outlier detection.
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1. Log Frequency Analysis for Anomaly Detection in Cloud Environments
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : 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. READ MORE
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2. Audio Anomaly Detection in Cars
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : 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. READ MORE
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3. Comparing machine learning algorithms for detecting behavioural anomalies
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Attempted intrusions at companies, either from an insider threat orotherwise, is increasing in frequency. Most commonly used is static analysis and filters to stop specific attacks. READ MORE
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4. Exogenous Fault Detection in Aerial Swarms of UAVs
University essay from KTH/Matematik (Avd.)Abstract : In this thesis, the main focus is to formulate and test a suitable model forexogenous fault detection in swarms containing unmanned aerial vehicles(UAVs), which are aerial autonomous systems. FOI Swedish DefenseResearch Agency provided the thesis project and research question. READ MORE
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5. EXTRACTING REGIONS OF INTEREST AND DETECTING OUTLIERS FROM IMAGE DATA
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Volvo Construction Equipment (CE) are facing the challenge of vibrations in their wheel loaders that generate disruptive noise and impact the driver's experience. These vibrations have been linked to the contact surface between the crown wheel and pinion gear in the vehicles drive-axles. READ MORE