Sökning: "algorithm"

Visar resultat 1 - 5 av 4491 uppsatser innehållade ordet algorithm.

  1. 1. A possibility, a threat, a denial? How news robots affect journalists’ work practices and professional identity

    Magister-uppsats, Göteborgs universitet/JMG - Inst f journalistik och masskomm

    Författare :Hanna Tuulonen; [2021-04-08]
    Nyckelord :algorithm; artificial intelligence; automated journalism; automation; computational journalism; data journalism; identity; identity construction; journalism; journalist; news robot; professional identity; robot journalism;

    Sammanfattning : The aim of the thesis is to gather an understanding on how news robots have influenced and will influence journalists’ work. This thesis also seeks to explain how journalists’ attitudes towards news robots have changed after they started working with or side by side with news robots, and how news robots affect journalists’ professional identity. LÄS MER

  2. 2. Classification of role stereotypes for classes in UML class diagrams using machine learning

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

    Författare :Jobaer Ahmed; Maoyi Huang; [2021-03-03]
    Nyckelord :role-stereotypes; machine learning algorithm; classification; data analysis; data mining; UML class diagram; software design; software engineering;

    Sammanfattning : Software development process is becoming inherently complex in recent decades.To reduce the complexity in the development process developers, software practitioners are constantly looking for newer approach. One approach can be understanding the software design for instance, the UML models earlier in the softwaredevelopment process. LÄS MER

  3. 3. Option Modelling by Deep Learning

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Niclas Klausson; Victor Tisell; [2021-02-10]
    Nyckelord :Deep learning; deep hedging; generative adversial networks; arbitrage pricing;

    Sammanfattning : In this thesis we aim to provide a fully data driven approach for modelling financial derivatives, exclusively using deep learning. In order for a derivatives model to be plausible, it should adhere to the principle of no-arbitrage which has profound consequences on both pricing and risk management. LÄS MER

  4. 4. Search for Higgs-like bosons through optimization of top-quark modelling

    Magister-uppsats, Lunds universitet/Partikelfysik; Lunds universitet/Fysiska institutionen

    Författare :Rafael Antonio Lopez; [2021]
    Nyckelord :ttbar; top quark modelling; BSM; 2HDM S; Higgs-like bosons; ATLAS; HWW; XSh; top estimation; top remodelling; Physics and Astronomy;

    Sammanfattning : Accurate estimations of background processes associated with top-quarks are vital to studies concerned with finding new physics at the Large Hadron Collider (LHC)at CERN. Search for Higgs-like bosons in the ATLAS experiment at LHC was performed by optimising the use of b-jet tagging algorithms and improving on tt backgroundmodelling. LÄS MER

  5. 5. Training Autoencoders for feature extraction of EEG signals for motor imagery

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

    Författare :Casper Wahl; [2021]
    Nyckelord :;

    Sammanfattning : Electroencephalography (EEG) is a common technique used to read brain activity from an individual, and can be used for a wide range of applications, one example is during the rehab process of stroke victims. Loss of motor function is a common side effect of strokes, and the EEG signals can show if sufficient activation of the part of the brain related to the motor function that the patient is training has been achieved. LÄS MER