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Visar resultat 1 - 5 av 229 uppsatser innehållade orden text size.

  1. 1. The “Magic Gathering” of Comprehension Devices : A diachronic systemic functional linguistics analysis of MTG game card texts

    Kandidat-uppsats, Stockholms universitet/Engelska institutionen

    Författare :Isabella Schiller; [2024]
    Nyckelord :Systemic Functional Linguistics; Magic: The Gathering; keywords; card text; action; process; mood; transitivity; comprehension;

    Sammanfattning : This study investigates the diachronic shift of revised card texts in the tabletop collectible card game ‘Magic: The Gathering’.  The lexicogrammatical patterns found are compared to theories on comprehension and learning, and to the development of the game. LÄS MER

  2. 2. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

    Kandidat-uppsats, Lunds universitet/Fysiska institutionen

    Författare :Max Svensson; [2024]
    Nyckelord :Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

    Sammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER

  3. 3. Tillgänglighet och användbarhet för synnedsatta på offentliga webbplatser

    Kandidat-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

    Författare :Rania Abd Alsalam Abo Aleneen; Jane Goman; Awan Aras Nouri; [2024]
    Nyckelord :Informationsarkitektur; användbarhet; tillgänglighet; e-tjänster; utvärdering; digital offentlig service; UX-design; synnedsättning;

    Sammanfattning : This study analyzes the accessibility and usability of Swedish Public Authority´s websites for people with visual impairments, this was done with an online-survey answered by 51 respondents (35 respondents with a visual impairment and 16 without). Based on their answers a manual review of one sample website was performed. LÄS MER

  4. 4. Generative AI as a Tool for Swedish Startups - A qualitative study on how Generative AI can affect Swedish startups

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Filippa Gyllensvärd; Olivia Hiljegren; [2023-07-19]
    Nyckelord :Generative AI; Startup; Entrepreneurship; Innovation; Thematic analysis; Machine learning;

    Sammanfattning : In today's rapidly evolving technological landscape, startups are constantly seeking new ways to innovate and stay ahead of the competition. One promising innovation is Generative AI, which uses large datasets to generate original content such as images, music, code, or text (McKinsey & Company, 2022). LÄS MER

  5. 5. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding

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

    Författare :Corentin Royer; [2023]
    Nyckelord :Deep Learning; Entity Retrieval; Mixer; Transformer;

    Sammanfattning : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. LÄS MER