Essays about: "Local Outlier Factor algorithm"

Showing result 1 - 5 of 7 essays containing the words Local Outlier Factor algorithm.

  1. 1. 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

  3. 2. 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

  4. 3. Data Driven Energy Efficiency of Ships

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Tarik Taspinar; [2022]
    Keywords : Local outlier factor; k-nearest neighbors; random forest; gradient boosting; support vector machines; ensemble learning; ship speed optimization; genetic algorithm; DEAP; HyperOpt;

    Abstract : Decreasing the fuel consumption and thus greenhouse gas emissions of vessels has emerged as a critical topic for both ship operators and policy makers in recent years. The speed of vessels has long been recognized to have highest impact on fuel consumption. READ MORE

  5. 4. A Comparative Evaluation Of Semi-supervised Anomaly Detection Techniques

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Rebwar Bajallan; Burhan Hashi; [2020]
    Keywords : ;

    Abstract : As we are entering the information age and the amount of data is rapidly increasing, the task of detecting anomalies has become a necessity in many organizations as anomalies often reveal useful information which in many cases can be critical to save lives or to catch imposters. The semi-supervised approach to anomaly detection which is based on the fact that the user has no information about anomalies has become widely popular since it’s easier to model the normal state of systems than to obtain information about every anomalous behavior. READ MORE

  6. 5. Trading algorithms for high-frequency currency trading

    University essay from Umeå universitet/Institutionen för fysik

    Author : Shahab Garoosi; [2018]
    Keywords : ;

    Abstract : This thesis uses modern portfolio theory together with machine learning techniques to generate stable portfolio returns over eleven currency pairs with spreads included. The backtests show that support vector machine predicted future returns better than neural network and linear regression. READ MORE