Sökning: "Olof Enström"

Hittade 4 uppsatser innehållade orden Olof Enström.

  1. 1. Bullying Detection through Graph Machine Learning : Applying Neo4j’s Unsupervised Graph Learning Techniques to the Friends Dataset

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Olof Enström; Christoffer Eid; [2023]
    Nyckelord :Bullying; Graph Machine Learning; Community Detection; Neo4j; Data Preprocessing; Similarity Algorithms; Friends; Neo4j; Unsupervised Learning; Anti-bullying;

    Sammanfattning : In recent years, the pervasive issue of bullying, particularly in academic institutions, has witnessed a surge in attention. This report centers around the utilization of the Friends Dataset and Graph Machine Learning to detect possible instances of bullying in an educational setting. LÄS MER

  3. 2. Clustering and Classification of Time Series in Real-Time Strategy Games - A machine learning approach for mapping StarCraft II games to clusters of game state time series while limited by fog of war

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

    Författare :Olof Enström; Fredrik Hagström; John Segerstedt; Fredrik Viberg; Arvid Wartenberg; David Weber Fors; [2020-10-29]
    Nyckelord :Classification problem; Cluster analysis; Hierarchical clustering; Machine learning; Neural network; Random forest; Real-time strategy; StarCraft II; Time series;

    Sammanfattning : Real-time strategy (RTS) games feature vast action spaces and incomplete information, thus requiring lengthy training times for AI-agents to master them at the level of a human expert. Based on the inherent complexity and the strategical interplay between the players of an RTS game, it is hypothesized that data sets of played games exhibit clustering properties as a result of the actions made by the players. LÄS MER

  4. 3. Authentication Using Deep Learning on User Generated Mouse Movement Images

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Olof Enström; [2019]
    Nyckelord :Machine Learning; Authentication; Behavioral Biometrics; Deep Learning; Convolutional Neural Networks;

    Sammanfattning : Continuous authentication using behavioral biometrics can provide an additional layer of protection against online account hijacking and fraud. Mouse dynamics classification is the concept of determining the authenticity of a user through the use of machine learning algorithms on mouse movement data. LÄS MER

  5. 4. Databassynkronisering mellan mobila plattformar : - Hur synkroniseras mobila databaser på bästa sätt?

    Kandidat-uppsats, Informationssystem

    Författare :Ludvig Enström; Olof Dahlbom; [2011]
    Nyckelord :synkronisering databaser smartphone mobil;

    Sammanfattning : Dennauppsatsundersökerhursynkroniseringmellantrevaldaplattformarsdatabaser(iOS,Android,MySQL)kanutföraspåbästasätt.Utifrånvårprimärdatasomärvetenskapligaartiklarskrivnaiämnet,samttidigareforskningochvårsekundärdatasomärvårtexperimentCrossSync,samtenintervjumedFredrikÅlundpåMimer,harvimedettkvalitativtsynsättsettpådeolikabeståndsdelarnasomkrävsförattkunnautförasynkroniseringmellandessaplattformar. LÄS MER