Essays about: "Local outlier factor"

Showing result 1 - 5 of 20 essays containing the words Local outlier factor.

  1. 1. Audio Anomaly Detection in Cars

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Asma Hussein; [2023-09-11]
    Keywords : Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

    Abstract : 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

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

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Fredrik Jansson; [2023]
    Keywords : Anomaly Detection; Machine Learning; Behavioural Anomalies;

    Abstract : 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

  4. 3. Exogenous Fault Detection in Aerial Swarms of UAVs

    University essay from KTH/Matematik (Avd.)

    Author : Maja Westberg; [2023]
    Keywords : Exogenous Fault Detection; Local Outlier Factor; Aerial Swarm; Unmanned Aerial Vehicle; Behavioral Feature Vector; Outlier Detection; Cluster Analysis; Exogen Feldetektering; Local Outlier Factor; Drönarsvärm; Obemannad Drönare; Beteendevektor; Avvikelse-Analys; Kluster-Analys;

    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

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

    University essay from Blekinge Tekniska Högskola

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

    Abstract : 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. READ MORE

  6. 5. Detection of software incidents from large log material with the use of unsupervised machine learning

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : DIMITRIOS ANASTASIADIS; JAKUB LENART; [2022-06-20]
    Keywords : binary classification; log; anomaly detection; machine learning; Local Outlier Factor; Isolation Forest; PCA; LSTM-Autoencoder;

    Abstract : Computer systems generate log files, which contain information on the various operations performed by these systems. This information can support the process of error/failure detection and debugging. Therefore, anomalies can be spotted in the system through its produced log material. READ MORE