Sökning: "Outlier detection"

Visar resultat 1 - 5 av 76 uppsatser innehållade orden Outlier detection.

  1. 1. 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

  2. 2. Comparing machine learning algorithms for detecting behavioural anomalies

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Fredrik Jansson; [2023]
    Nyckelord :Anomaly Detection; Machine Learning; Behavioural Anomalies;

    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

    Författare :Jessica Ström; Erik Backhans; [2023]
    Nyckelord :Artificial Intelligence AI ; Machine Vision; Outlier Detection; Autoencoders; Neural Networks; Region Of Interest ROI ;

    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

  4. 4. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Simron Padhi; Devi Priya Battina; [2023]
    Nyckelord :Anomaly detection; Isolation forest algorithm; K-means algorithm; Local Outlier Factor algorithm; One class Support Vector Machine;

    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

  5. 5. Comparing the effect of random and contextual removal of images on object detection performance

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Patrik Pettersson; José Gabriel Gomez Palomäki; [2023]
    Nyckelord :Object detection; context; spatial context; outlier removal; MSCOCO;

    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