Blar i TKD - Master i Anvendt data- og informasjonsteknologi (ACIT) på emneord "Machine learning"

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    • 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 ...

    • Can depth data improve the accuracy when classifying mops? 

      Blomdal, Stian (ACIT;2022, Master thesis, 2022)
      Since the emergence of low cost RGB-D cameras, a new world of possibilities have opened up in the field of Computer Vision. This projects focuses on both the practical and theoretical part of how depth data can improve ...

    • Facial emotion recognition using deep learning 

      Kirkvik, Emilia Basioli (ACIT;2022, Master thesis, 2022)
      Rapid advancements in Machine Learning (ML) have made it possible to equip computers with the ability to analyze, recognize and understand emotions. Facial Emotion Recognition (FER) is a technology that analyzes facial ...

    • MachinelLearning to classify and recommend physical activity based on wearable technology 

      Shrestha, Dipak (MAUU;2020, Master thesis, 2020)
      Different wearable technology has been used to measure the physical activities of people with movement disorder through activity classification as well as recommending suitable physical activity level. A physical activity ...

    • Soccer athlete performance prediction using time series analysis 

      Ragab, Nourhan (ACIT;2022, Master thesis, 2022)
      Regardless of the sport you prefer, your favorite athlete has almost certainly disappointed you at some point. Did you jump to a conclusion and dismissed it as "not their day"? Or, did you consider the underlying causes for ...