Sökning: "one class support vector machine"
Visar resultat 1 - 5 av 38 uppsatser innehållade orden one class support vector machine.
1. Audio Anomaly Detection in Cars
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : 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
2. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. LÄS MER
3. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning
Master-uppsats, Blekinge Tekniska HögskolaSammanfattning : 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
4. Speech activity detection in videos
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Speech is an important way of communication all over the world. The speech information is encoded both aural and visual. More than 1.5 billion people have hearing loss and for those the visual information is even more important than for people with normal hearing. LÄS MER
5. FAULT DETECTION IN AIR HANDLING UNIT (AHU) USING MACHINE LEARNING
Master-uppsats, Högskolan Dalarna/MikrodataanalysSammanfattning : Fault in Air Handling Unit (AHU) of the Heating, Ventilation, and Air Conditioning (HVAC) systems in buildings is a challenge that building managements face. These faults cause buildings to waste 15 – 30% of the energy consumed by the AHU. LÄS MER