Sökning: "Gaussian mixture models"

Visar resultat 1 - 5 av 57 uppsatser innehållade orden Gaussian mixture models.

  1. 1. Exploring Greenhouse Gas Emissions and socio-economic factors for climate change mitigation: A worldwide clustering analysis

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Författare :Anna Pasini; [2023]
    Nyckelord :GHG emissions; Climate Change; Panel Data; Gaussian Mixture Models Cluster Analysis; PCA; Business and Economics;

    Sammanfattning : In response to the pressing need to address climate change and reduce global greenhouse gas (GHG) emissions, this study implemented Gaussian Mixture Models Clustering to detect the levels of GHG emissions and related socio-economic factors in 174 countries. To handle the panel data, Principal Component Analysis was conducted to achieve dimension reduction. LÄS MER

  3. 2. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Alexander Magnusson; Anton Andersson; [2023]
    Nyckelord :Anomaly Detection; Sound Event Detection; MFCC; GMM; OCSVM; Mathematics and Statistics;

    Sammanfattning : 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

  4. 3. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Diogo Antunes; [2023]
    Nyckelord :Robust state estimation; Underwater localization; Target tracking; Gaussian mixture; AUV; Estimação robusta de estado; Localização subaquática; Rastreamento de alvos; Mistura Gaussiana; AUV; Robust tillståndsuppskattning; Undervattenslokalisering; Målspårning; Gaussisk blandning; AUV;

    Sammanfattning : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. LÄS MER

  5. 4. Multidimensional Classification of Radar Signals : A comparison between unidimensional and multidimensional classification models for pulsed radar signals

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Max Ek Törmä; [2023]
    Nyckelord :pulsed radar classification; Bayesian Gaussian mixture models; Dirichlet process mixture models; multidimensional radar classification; pulsed radar signals; radar signal classification;

    Sammanfattning : Radar is a technique used by many different types of remote sensing systems to keep track of their surroundings. The transmitted radar signals may carry information that could be used to infer the type of transmitter. Multiple papers have investigated the classification of pulse repetition intervals produced by radar systems. LÄS MER

  7. 5. Latent Data-Structures for Complex State Representation : A Steppingstone to Generating Synthetic 5G RAN data using Deep Learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Högenergifysik

    Författare :Jakob Häggström; [2023]
    Nyckelord :Data Science; Machine Learning; Generative models; Artificial Intelligence; 5GRAN;

    Sammanfattning : The aim of this thesis is to investigate the feasibility of applying generative deep learning models on data related to 5G Radio Access Networks (5GRAN). Simulated data is used in order to develop the generative models, and this project serves as a proof of concept for further applications on real data. LÄS MER