Blar i Studentoppgaver (TN-IDE) på forfatter "Meinich-Bache, Øyvind"

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    • Design & Implementation of MLOps (Machine Learning Operations) Platform in Cloud Environment 

      ISLAM, MD RUHUL; DAS, ATANU (Master thesis, 2023)
      Machine Learning Operations (MLOps) concept has emerged basically to decode the shortcomings of traditional Machine Learning (ML) life cycle management in industrial applications. The incorporation of Continuous Integration ...

    • Generalized vs Specialized activity recognition system for newborn resuscitation videos using Deep Neural Networks. 

      Aboaja, Chukwudi (Master thesis, 2021)
      Birth asphyxia is a global problem which has resulted in a high mortality rate of newborn babies all over the globe, it is a newborn’s inability to establish breathing at birth. A notable breakthrough is the marrying of ...

    • Object Character Recognition from patient monitor screen 

      Bukhari, Syed Irtza Akhtar (Master thesis, 2021)
      The new paradigm shift with the expansion of data requires us to plan better ways to manage it. This data can be in the form of text or digital images and can be found in different domains. This data when managed well, can ...

    • Objekt Deteksjon, simulert våkenhet 

      Kunnas, Jari (Bachelor thesis, 2021)
      Medical emergencies and trauma situations are stressful events. Training and repetition in controlled environment is used for health professionals to gain experience and retain the learning for longer. Laerdal Medical ...

    • Optimization of object detection in newborn resuscitation videos 

      Austnes, Simon (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)
      99% of deaths of children under 28 days of age takes place in low- and middle-income countries. Most of these deaths are due to complications during childbirth. Newborn resuscitation heavily revolves around ventilation, ...

    • Videodeteksjon av hjerte- og respirasjonsrate 

      Meinich-Bache, Øyvind (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
      I rapporten er mulighetene en har ved å benytte video til deteksjon av hjerte- og respirasjonsrate på nyfødte babyer utforsket. Datamaterialet som inngår i forsøkene og utviklingen av algoritmene er hentet inn ved Universitet ...