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Visar resultat 1 - 5 av 554 uppsatser innehållade ordet Sorting.

  1. 1. Teacher certification and student achievement - A quantitative study of Swedish compulsory schools

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Zhila Azez; [2020-07-10]
    Nyckelord :Teacher certification; student achievement; compulsory schools; Fixed-effect model;

    Sammanfattning : MSc in Economics.... LÄS MER

  2. 2. Momentum and Trend in Sweden: Enhancing profits and limiting downside risk by using indicators from different time horizons

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Alan Dari Lindahl; Jan Wiki; [2020-07-07]
    Nyckelord :momentum; momentum crash; echo; trend; moving averages; cross-section; downside risks; predictability; factor models; turnover; transaction costs;

    Sammanfattning : MSc in Finance.... LÄS MER

  3. 3. Recycling Barge in Gothenburg – a sustainability analysis

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Agneta Andersson; Alicia Björkman; [2020-06-17]
    Nyckelord :recycling; barge; sustainability; Gothenburg; urban logistics; waste logistics;

    Sammanfattning : MSc in Logistics and Transport Management.... LÄS MER

  4. 4. Likheter som styrkor i webbdesign : Ett alternativ till lokalisering

    Kandidat-uppsats,

    Författare :Emma Björk; Annelie Von Matern Fallkvist; [2020]
    Nyckelord :Lokalisering; globalisering; mentala modeller; användbarhet; användarupplevelse; tvärkulturell design;

    Sammanfattning : This study addresses the question of how globalization affects the need for localized user interfaces. Previous research in cross-cultural design suggests that user interfaces need to be adapted to users' different cultures in order to achieve usability, effectiveness and good user experience. LÄS MER

  5. 5. NSGA-II DESIGN FOR FEATURE SELECTION IN EEG CLASSIFICATION RELATED TO MOTOR IMAGERY

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Robin Johansson; [2020]
    Nyckelord :;

    Sammanfattning : Feature selection is an important step regarding Electroencephalogram (EEG) classification, for a Brain-Computer Interface (BCI) systems, related to Motor Imagery (MI), due to large amount of features, and few samples. This makes the classification process computationally expensive, and limits the BCI systems real-time applicability. LÄS MER