Avancerad sökning

Visar resultat 1 - 5 av 1475 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Learning Geometry Compatibility with 3D Convolutional Neural Networks

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Florian Stellbrink; [2019-10-04]
    Nyckelord :computer science; computer graphics; machine learning; geometry; voxel; thesis;

    Sammanfattning : Modern video games oer substantial amounts of customization options. Manually testing the visual compatibility of all options is time-consuming and error-prone. Together with Ghost Games, we present a method of learning the visual compatibility between pairs of geometries. LÄS MER

  2. 2. Fault Prediction in Android Systems through AI

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Kirsten Bassuday; Murtada Ahmed; [2019-10-04]
    Nyckelord :Machine Learning; Data Science; Process Metrics; Git; Defect Prediction; Repository Mining; Jira;

    Sammanfattning : Software code defect prediction is important in improving code quality and the turnaround time of software products. In this thesis we investigate how to create and extract features, analyze existing work to create and realize a defect prediction technique that can be applied in an industrial setting. LÄS MER

  3. 3. Predicting Mechanisms of Toxicity for Drug Development

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :SÖREN RICHARD STAHLSCHMIDT; [2019-10-04]
    Nyckelord :Predictive Toxicology; Metabolomics; Semi-Supervised Learning; DoseResponse;

    Sammanfattning : The aim of this thesis is to predict dierent mechanisms of toxicity from the metabolomic response of HepG2 liver cells. In order to utilize the metabolomic data the a semisupervised machine learning approach is investigated, namely the cluster-then-label approach. The research focuses on the unsupervised part due to the centrality to this method. LÄS MER

  4. 4. Machine Learning- An Educational Revolution? A Scenario Analysis of the Future Role of Machine Learning in the Public Primary School in Gothenburg

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Lisa Emanuelsson; Louise von Braun; [2019-07-09]
    Nyckelord :Scenario Planning; Machine Learning; Public Primary Education; Trends; Uncertainties;

    Sammanfattning : The Swedish students’ results have gradually decreased in international comparisons, wherefore the educational industry is experiencing an augmenting pressure for change. Simultaneously, the demand and supply of tools based on the Machine Learning (ML) technology is beginning to augment within the educational sector. LÄS MER

  5. 5. Maskininlärning för diagnosticering av perifer neuropati

    Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Margareta Carlerös; Nina Malmqvist; Josefin Nilsson; Fredrik Skärberg; [2019-07-02]
    Nyckelord :Klassificering; AI; Statistiskinlärning; k-NN; Slumpmässig skog; Neurala nätverk; Medicinsk diagnostik; Dynamiskt Svettest;

    Sammanfattning : This report investigates the possibility of diagnosing peripheral neuropathy with the help ofnon-parametic classification methods. Peripheral neuropathy is a disease state characterizedby damage on the nerves furthest out in the nervous system, with symptoms first occuring inthe feet. The data used in this project comes from Dr. LÄS MER