Sökning: "a study on the diffusion"

Visar resultat 1 - 5 av 687 uppsatser innehållade orden a study on the diffusion.

  1. 1. Fotografering med AI i bilden : En intervjustudie med svenska fotografer om det fotografiska yrket med teknologin artificiell intelligens

    M1-uppsats, Örebro universitet/Institutionen för humaniora, utbildnings- och samhällsvetenskap

    Författare :Adam Avelin Belin; Oscar Geidemark; [2024]
    Nyckelord :Artificial intelligence; AI; photography; image generating; text-to-image; postphenomenology; technology; semi-structured interview; narrative analysis;

    Sammanfattning : At the turn of the century, photographers started a transition from analogue to digital photography: a transition which took years to complete. The photographic landscape is now in a new period of development, with new AI-programs based on machine learning. LÄS MER

  3. 2. Storstadsregionernas social- och arbetsmarknadsförvaltningars tankar inom organisationsteoretiska frågor i förvaltningen : en skandinavisk institutionell analys

    Kandidat-uppsats, Högskolan i Borås/Akademin för vård, arbetsliv och välfärd

    Författare :Carolina Gadderus Blom; Amanda Gelotte; [2024]
    Nyckelord :Scandinavian institutional theory; isomorphism; mimetic isomorphism; forced isomorphism; normative isomorphism; decoupling; sense-making; translation; idea diffusion; organizational change; Skandinavisk institutionell teori; isomorfism; mimetisk isomorfism; tvångsisomorfism; normativ isomorfism; löskoppling; meningsskapande; översättning; idéspridning; organisationsförändring;

    Sammanfattning : This study aims to explore the perspectives of the metropolitan regions’ social and/respective labor market administrations within organizational theoretical issues throughout a Scandinavian institutional analysis.  The study has been conducted with a triangulation method, which combines both qualitative and quantitative methods to increase the study's validity. LÄS MER

  4. 3. AI-based image generation: The impact of fine-tuning on fake image detection

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Nick Hagström; Anders Rydberg; [2024]
    Nyckelord :Fake image detection; LoRA; DreamBooth; Stable Diffusion; Image generation;

    Sammanfattning : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. LÄS MER

  5. 4. Women's civil society organisations and the diffusion of the international climate-gender norm. A comparative qualitative study on the diffusion of the climate-gender nexus through implementation processes in Serbia and North Macedonia

    Master-uppsats, Göteborgs universitet/Statsvetenskapliga institutionen

    Författare :Martina Dahlby; [2023-10-30]
    Nyckelord :Climate-Gender Nexus; International Norm Diffusion; Women’s Civil Society Organisations; Gender Equality; Climate Change; Serbia; North Macedonia;

    Sammanfattning : The gendered issues of climate change have been acknowledged by the international community, which has led to the creation of policies addressing the climate-gender nexus. Through this international institutionalisation, the climate-gender nexus has become an international norm. LÄS MER

  7. 5. Improving echocardiogram view classification using diffusion models

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

    Författare :Luis Arevalo; Anouka Ranby; [2023-10-23]
    Nyckelord :Computer; science; computer science; engineering; project; artificial intelligence; machine learning; deep neural networks; diffusion models; synthetic data; echocardiogram classification;

    Sammanfattning : In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram views. LÄS MER