Sökning: "Simon Leijon"

Hittade 4 uppsatser innehållade orden Simon Leijon.

  1. 1. Simulation of wire bending processes in continuous wave winding stator production

    M1-uppsats, KTH/Produktionsutveckling

    Författare :Simon Boström Leijon; [2023]
    Nyckelord :Finite element analysis; bending; stator winding; Finita element analys; böjning; statorlindning;

    Sammanfattning : Electric propulsion in the heavy truck industry require knowledge in certain new areas involved in electric machine manufacturing. One of these new manufacturing steps is copper bending for production of stator windings. LÄS MER

  3. 2. Recommender System Using Online Latent Dirichlet Allocation And Wikipedia

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Simon Leijon; [2022]
    Nyckelord :;

    Sammanfattning : With the vast amount of natural language data that is widely availabletoday there is an increased demand in being able to process, analyzeand explore large corpora of texts efficiently. One method to explorethese corpora is by creating a recommender system based on the texts.The most common recommender system to this end is what is knownas Google. LÄS MER

  4. 3. Ketamine and its enantiomers in the treatment of depressive and anxiety disorders: a systematic review

    Kandidat-uppsats, Örebro universitet/Institutionen för medicinska vetenskaper

    Författare :Simon Leijon; [2021]
    Nyckelord :;

    Sammanfattning : Background Ketamine is a racemic mixture, consisting of equal amounts of its two enantiomers. It has been recognized for its rapid-acting antidepressant effects and some data also suggest safety and efficacy in treating anxiety disorders. LÄS MER

  5. 4. Fault Detection AI For Solar Panels

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jonathan Kurén; Simon Leijon; Petter Sigfridsson; Hampus Widén; [2020]
    Nyckelord :machine learning; artificial intelligence; fault detection; photovoltaics; solar panels; solar energy; photovoltaic system;

    Sammanfattning : The increased usage of solar panels worldwide highlights the importance of being able to detect faults in systems that use these panels. In this project, the historical power output (kWh) from solar panels combined with meteorological data was used to train a machine learning model to predict the expected power output of a given solar panel system. LÄS MER