Sökning: "transfer learning"

Visar resultat 26 - 30 av 661 uppsatser innehållade orden transfer learning.

  1. 26. 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

  3. 27. "Nobody survives alone here": Unravelling the role of a tourism network in sustainable destination development : A case study of Muonio, Finland

    Master-uppsats, Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknik

    Författare :Annika Hallwass; [2023]
    Nyckelord :;

    Sammanfattning : As tourism continues to grow, the need for sustainable management and governance of tourism destinations becomes increasingly urgent. This arguably requires the participation, cooperation, and collaboration of a variety of destination stakeholders. LÄS MER

  4. 28. Does esports participation help in developing computer literacy skills?

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Mihai Gabriel Bodnarescu; Jacob Granstedt; [2023]
    Nyckelord :Esports; Computer literacy; League of Legends;

    Sammanfattning : In this paper, we have focused on possible connections between Esports, more narrowly League of Legends, and increased Computer Literacy Skills.  The purpose of this study was to research Esports and Computer Literacy skills and analyse the possible link and how it might overall help one’s day-to-day life, job prospects and more by using Esports as a tool for learning Computer Literacy Skills. LÄS MER

  5. 29. Convolution-compacted visiontransformers forprediction of localwall heat flux atmultiple Prandtlnumbers in turbulentchannel flow

    Master-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Yuning Wang; [2023]
    Nyckelord :Turbulent flow; Heat transfer; Vision transformer; Convolutional neural network; Machine learning;

    Sammanfattning : Predicting wall heat flux accurately in wall-bounded turbulent flows is critical for a variety of engineering applications, including thermal management systems and energy-efficient designs. Traditional methods, which rely on expensive numerical simulations, are hampered by increasing complexity and extremly high computation cost. LÄS MER

  7. 30. Head-to-head Transfer Learning Comparisons made Possible : A Comparative Study of Transfer Learning Methods for Neural Machine Translation of the Baltic Languages

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

    Författare :Mathias Stenlund; [2023]
    Nyckelord :machine translation; transfer learning; Latvian; Lithuanian; low-resource languages; transformers; parent language; child language; comparative study;

    Sammanfattning : The struggle of training adequate MT models using data-hungry NMT frameworks for low-resource language pairs has created a need to alleviate the scarcity of sufficiently large parallel corpora. Different transfer learning methods have been introduced as possible solutions to this problem, where a new model for a target task is initialized using parameters learned from some other high-resource task. LÄS MER