Blar i TKD - Master i Anvendt data- og informasjonsteknologi (ACIT) på forfatter "Hicks, Steven"

Viser treff 1-5 av 5

    • AI-based clipping of booking events in soccer 

      Rognerud, Robin (Master thesis, 2023)
      Manual clipping is currently the gold standard for extracting highlight clips from soccer games. However, it is a costly, tedious, and time-consuming task that is impractical and unfeasible for, at least, lower-league games ...

    • Automated reporting system using deep convolutional neural network in the medical domain 

      Subedi, Matrika (MAUU;2021, Master thesis, 2021)
      Nowadays, in the healthcare sector, a massive volume of medical data sources is available. The data is growing at 153 Exabytes in 2013 and an estimated 2,314 exabytes in 2020 (Turner, Gantz et al. 2014). The medical data ...

    • Comparing Recurrent Neural Networks for ECG analysis 

      Sæther, Sander (Master thesis, 2023)
      In this thesis, the effectiveness of three types of Recurrent Neural Networks (RNNs) - Basic RNN, Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) - are examined for Electrocardiogram (ECG) signal classification. ...

    • An evaluation of using transformer networks for ECG Analysis 

      Yawar, Syeda Ambreen (Master thesis, 2023)
      Electrocardiogram (ECG) is a simulated recording of heart activity in electrical signals. It carries essential clinical information in the form of amplitude and timing. It is used to monitor and analyze the functionality ...

    • An Investigation into using Deep Convolutional Neural Networks for ECG Analysis 

      Hameed, Mohammad Awais (Master thesis, 2023)
      In this day and age, the fascination surrounding deep learning and AI is at its absolute peak. Both in terms of hype and controversy the current interest level is unprecedented, with exciting developments happening at a ...