Sökning: "Isolation Forest"

Visar resultat 1 - 5 av 62 uppsatser innehållade orden Isolation Forest.

  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

  3. 2. W2R: an ensemble Anomaly detection model inspired by language models for web application firewalls security

    Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Zelong Wang; Athira AnilKumar; [2023]
    Nyckelord :web application firewall; anomaly detection; word2vec; BERT; dimension reduction; ensemble model;

    Sammanfattning : Nowadays, web application attacks have increased tremendously due to the large number of users and applications. Thus, industries are paying more attention to using Web application Firewalls and improving their security which acts as a shield between the app and the internet by filtering and monitoring the HTTP traffic. LÄS MER

  4. 3. Time Series Anomaly Detection in Radio Test

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Yu Zhu; [2023]
    Nyckelord :;

    Sammanfattning : Production tests evaluate products with automated systems enabling swift data collection, while anomaly detection in the gathered data is widely employed in industries for damage prediction and issue prevention. Ericsson, a leader in the telecommunications industry, has a Temperature Quality Test (TQT) platform which involves precise performance measurements on radios, gathering abundant data in both single value and time series formats to evaluate and improve tested products. LÄS MER

  5. 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

  7. 5. Unsupervised Anomaly Detection in Testchannels : A Comparison Between Machine Learning Techniques

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Felicia Guez; Johanna Högström; [2023]
    Nyckelord :;

    Sammanfattning : Due to the increasing number of mobile applications and services, communication service providers strive to optimize their networks in order to maintain a competitive position. Continuous Integration, which includes improving software delivery through automation, is fundamental in the process of testing and optimizing networks. LÄS MER