Sökning: "learning style"

Visar resultat 1 - 5 av 201 uppsatser innehållade orden learning style.

  1. 1. Ultrasound neural style transfer using domain specific features

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Madelene Alanenpää; [2023]
    Nyckelord :;

    Sammanfattning : Ultrasound imaging is a widely used fast, low-cost, and non-invasive modality for monitoringfetal development during pregnancy and identifying potential problems or other injuries.However, interpreting the images may be difficult due to the noisy appearance and requiresextensive training of sonographers. LÄS MER

  3. 2. Evaluating and Fine-Tuning a Few-Shot Model for Transcription of Historical Ciphers

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Ingrid Eliasson; [2023]
    Nyckelord :historical ciphers; few-shot learning; automatic transcription;

    Sammanfattning : Thousands of historical ciphers, encrypted manuscripts, are stored in archives across Europe. Historical cryptology is the research field concerned with studying these manuscripts - combining the interest of humanistic fields with methods of cryptography and computational linguistics. LÄS MER

  4. 3. Game graphics, motivation & engagement in serious games : Game graphics impact on serious games

    Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Milla Nilsson; [2023]
    Nyckelord :Serious games; game graphics; motivation; engagement; realism; abstract;

    Sammanfattning : The purpose of this study is to research further into game graphics and its impact on serious games. A realistic and an abstract style were compared as previous research has shown graphic styles to have effect on players' motivation and engagement, which in turn can enhance the learning outcomes in serious games. LÄS MER

  5. 4. Quality enhancement of time-resolved computed tomography scans with cycleGAN

    Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Författare :Johannes Stubbe; [2023]
    Nyckelord :carbon fibers; carbon fibres; microfibers; tomography; deep learning; cycleGAN; time-resolved tomography; Physics and Astronomy;

    Sammanfattning : Time-resolved x-ray tomography enables us to dynamically and non-destructively study the interior of a specimen. The obtainable temporal resolution is limited by the x-ray flux and the desired spatial resolution. LÄS MER

  7. 5. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Thomas Proudhon; [2023]
    Nyckelord :Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Sammanfattning : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. LÄS MER