Sökning: "Integration Patterns"

Visar resultat 6 - 10 av 236 uppsatser innehållade orden Integration Patterns.

  1. 6. Designprocessen och maskininlärning: Framtiden för användarcentrerad design

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

    Författare :Lisa Marie Karin Gärdhammar; [2024]
    Nyckelord :Artificial Intelligence; Machine Learning; Design process; Journey Mapping; Empathy; User experience; Customer experience; Artificiell intelligens; Maskininlärning; Designprocessen; Journey Mapping; Empati; Användarupplevelse; Kundupplevelse;

    Sammanfattning : Artificiell intelligens (AI) och i synnerhet maskininlärning (ML) har inom UX-design visat potential att förbättra designprocessen genom att exempelvis identifiera användargrupper från stora datamängder, effektivisera idégenerering och automatisera repetitiva uppgifter. Det råder dock oenighet kring hur tekniken kan integreras i designprocessen. LÄS MER

  3. 7. Regulatory Driven Clustering of Single-Cell Data; Clustering of single-cell RNA sequencing from glioblastoma with a novel mathematical method

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Kári Kristjánsson; [2023-08-08]
    Nyckelord :;

    Sammanfattning : Cancer is a leading cause of death worldwide. Single-cell RNA sequencing has arisen as an important method to explore the gene expression of biological cells, including cancer cells. In this study, we deployed a computational algorithm known as ScRegClust to dissect single-cell RNA-sequencing (scRNA-seq) data from brain tumors. LÄS MER

  4. 8. What if…? – How AI Chatbots Could Reconfigure Grocery Shopping In-store

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Hans Krugenberg; Kevin Ruf; [2023-07-03]
    Nyckelord :Digitalisation; Artificial Intelligence; Chatbots; Practice Theory; Retailing; Focus Groups;

    Sammanfattning : In the light of the rapid development of AI technology, this paper aims to explore how the integration of the novel application of an AI chatbot would reconfigure the practice of grocery shopping in brickand- mortar stores contributing to the trend of self-service. Based on a hypothetical scenario discussed in focus groups and drawing on practice theory, the study points out that, by adding this new element, the links between the elements of the practice would change, inducing a change in meaning from purely functional to more inspirational. LÄS MER

  5. 9. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Författare :Kobe Moerman; [2023]
    Nyckelord :3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Sammanfattning : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. LÄS MER

  7. 10. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Jaysmita Khanindra Chaliha; [2023]
    Nyckelord :;

    Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER