Browsing Studentoppgaver (TN-IDE) by Subject "LSTM"

Now showing items 1-4 of 4

    • Automated Well Monitoring: Machine Learning and Web Application 

      Zhurda, Anisa (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The challenge within the oil and gas industry is that of complexity and therefore cost, specifically due to the tough working environments and delays/downtime . Therefore, digitization is proposed as a cost saving opportunity ...

    • Generating Retro Video Game Music Using Deep Learning Techniques 

      Book, Magnus Særsten (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019)
      Music generation using deep learning is a widely studied field. This thesis focuses on music generation in a constrained and novel environment; retro video game music. The constraints imposed by the environment creates ...

    • Prediction of Energy Consumption Peak in Household by using LSTM & MLP 

      Karimi, Azadeh (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Accurate peak load forecasting plays a key role in operation and planning of electrical power generation. To minimize the operating cost, electric suppliers use forecasted peak load to control the number of running generator ...

    • Rhythm interpretation using deep learning neural networks 

      Eidsvåg, Daniel (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-14)
      Out-of-hospital cardiac arrest (OHCA) is a leading cause of death in the industrialized world, with an estimated annual incidence that varies by 52.5 (in Asia), 86.4 (in Europe), 98.1 (in North America), and 111.9 (in ...