Blar i Department of Electrical and Computer Engineering (TN-IDE) på emneord "neural networks"

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    • Advanced vision based vehicle classification for traffic surveillance system using neural networks 

      Thomessen, Eirik Aflekt (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)
      This master thesis focus on traffic monitoring, which are of importance to fulfill planning and traffic management of road networks. An important requirement is data interpretation accuracy to provide adequate characteristic ...

    • Automated false claims detection using deep neural networks 

      Rekve, Erlend (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Recently false claims and misinformation have become rampant in the web, affecting election outcomes, stock markets, and various other societal issues. Consequently, fact-checking and claim verification websites such as ...

    • Automatic Entity Typing using Deep Learning 

      Hovda, Jon Arne Bø (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      Knowledge bases contain vast amounts of information about entities and their semantic types. These can be leveraged in a variety of information access tasks like natural language processing and information retrieval. ...

    • Decreasing Manual Workload by Automating SAP Travel Expense Workflows 

      Husebø, Ivan-Louis Miranda; Kvist, Andreas (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      In the 21st century, efficiency is a key focus for several organisations, and because of this, machine learning and process automation is getting a lot of attention. The Norwegian Government Agency of Financial Management ...

    • Deep Learning for text data mining: Solving spreadsheet data classification. 

      Kimashev, Aleksandr (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-09)
      This project developed for the Avito LOOPS company. Research goals was to investigate existing algorithms and implementations of Deep Learning, to understand their applicability to text mining, to design a solution that ...

    • Deep neural models to represent news events 

      Chechelnytskyy, Denys (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-05-15)
      The thesis is dedicated to the background linking tasks for news articles, utilizing the deep neural network models. The goal is to retrieve similar articles based on the news story currently viewed. We examined neural and ...

    • Detecting Fake News and Rumors in Twitter Using Deep Neural Networks 

      Mjaaland, Henrik (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The scope of this thesis is to detect fake news by classifying them as either real or fake based on article content, metadata, tweets and retweets of news articles from the Politifact dataset using graph neural networks. Fake ...

    • Myocardial Segmentation in LGE-CMR Images Using Deep Neural Networks 

      Kregnes, Anders (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-07-29)
      Cardiovascular diseases are the number one cause of death globally. 85% of these deaths are related to acute myocardial infarction or stroke. One of the methods that are used to diagnose patients affected by myocardial ...

    • 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 ...

    • Testing Different Ways to analyse Data from Well Sensors Using Neural Networks and Image Processing 

      Haugsand, Fredrik (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      This thesis focuses on evaluation and testing different approaches of image recognition, neural networks and data analytics with application to the analysis of data collected from sensors installed in wells operated in the ...