Sökning: "Arti"

Visar resultat 11 - 15 av 48 uppsatser innehållade ordet Arti.

  1. 11. Deep Learning Based Classification of Rail Defects Using On-board Monitoring in the Stockholm Underground

    Master-uppsats, KTH/Spårfordon

    Författare :Tobias Niewalda; [2020]
    Nyckelord :;

    Sammanfattning : The purpose of this work is to find out if an artificial neural network can be useful purpose of this work is to find out if an artificial neural network can be useful in order to detect rail squats with the existing Quiet Track Measurement System (QTMS). Squats are surface-initiated rail defects which arise due to rolling contact fatigue. LÄS MER

  3. 12. Algorithms for Pure Categorical Optimization

    Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Oskar Eklund; David Ericsson; Astrid Liljenberg; Adam Östberg; [2019-06-20]
    Nyckelord :;

    Sammanfattning : Optimeringsproblem med kategoriska variabler är vanligt förekommande exempelvis inom bilindustrin och andra industrier där mekaniska komponenter ska väljas ut och kombineras på gynnsamma sätt. Avsaknaden av naturlig ordning på beslutsvariablerna gör att kategoriska optimeringsproblem oftast är svårare att lösa än diskreta eller kontinuerliga problem. LÄS MER

  4. 13. Risk Free Credit: Estimating Risk of Debt Delinquency on Credit Cards : Using Machine Learning Methodology

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

    Författare :Andreas Magnedal Holmgren; Victor Sellstedt; [2019]
    Nyckelord :;

    Sammanfattning : A well functioning economy requires a stable credit market. Computational intelligence methods could provide a method to reduce the amount of uncertainty in the markets. This report examines four different methods for predicting the probability for defaults of credit card clients in Taiwan. LÄS MER

  5. 14. Proposal networks in object detection

    Master-uppsats, KTH/Matematisk statistik

    Författare :Mikael Grossman; [2019]
    Nyckelord :Deep learning; Machine learning; Computer vision; Applied mathematics; Statistics; Artificial Neural Networks; Object detection; Faster R-CNN; RPN; Proposal Network; Maskininlärning; Neurala nätverk; Objektdetektering; Tillämpad matematik; Matematisk statistik; RPN; Förslags nätverk;

    Sammanfattning : Locating and extracting useful data from images is a task that has been revolutionized in the last decade as computing power has risen to such a level to use deep neural networks with success. A type of neural network that uses the convolutional operation called convolutional neural network (CNN) is suited for image related tasks. LÄS MER

  7. 15. Fearing the Queer and the War on “Indecency” : Portrayals of LGBT Individuals, and the Struggle for Religious Decorum in Aceh, Indonesia

    Master-uppsats, Lunds universitet/Centrum för öst- och sydöstasienstudier

    Författare :Jeanna Nilsson; [2018]
    Nyckelord :Acehnese discourse; LGBT; qanun jinayat; Shafi’i Islam; gender; liwath; musahaqah; kodrat; Islam; Aceh; Indonesia; Asian studies; South-East Asia; Social Sciences;

    Sammanfattning : In 2014, the sharia-ruled Aceh province of Indonesia legislated bylaw qanun jinayat no.6/2014, which criminalised same-sex acts, and imposed a caning punishment consisting of a hundred lashes if a person was found guilty. LÄS MER