Sökning: "Outlier detection"
Visar resultat 1 - 5 av 76 uppsatser innehållade orden Outlier detection.
- Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper
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
- Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap
Sammanfattning : 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. LÄS MER
- Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik
Sammanfattning : 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. LÄS MER
- Master-uppsats, Blekinge Tekniska Högskola
Sammanfattning : Background: In this era of mobile wallet platforms, to ensure key requirements like high availability and performance, the company must have mechanisms in place to detect anomalies at any given point in time. Ericsson Wallet Platform(EWP), a mobile wallet platform, is facing the problem of manually analyzing all the logs and reports and taking comprehensive action decisions accordingly. LÄS MER
- Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi
Sammanfattning : As datasets grow, the need for automated methods to ensure dataset quality arises. This report presents an experiment conducted on the MSCOCO train2017 dataset to identify image outliers using a force-directed graph built from a co-occurrence context, focusing on the mean average precision and average precision. LÄS MER