• Capillary Refill using Augmented Reality 

      Clausen, Christoffer (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)
      The opportunities within augmented reality is growing. Augmented reality is a combination of the real and the virtual world in real time, and large companies like Microsoft and Google is now investing heavily in the ...
    • Cardiac Arrest Sequence Analysis 

      Svendsen, Thomas (Master thesis, 2022)
      The survival rate of out-of-hospital cardiac arrest is still low despite improvements in treatment strategies. The recent decades have brought improved technologies for data collection, and automatic annotation ...
    • Cascade control on the Quanser Aero 

      Jacob Reiersøl (Master thesis, 2022)
    • Categorising offshore wind turbine installations, and investigating the weather impact during installations. 

      Gliniecki, Tomasz (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Categorising offshore wind turbine installations, and investigating the weather impact during installations.
    • Cerebral vessel segmentation in contrast CT images 

      Myklebust, Sigurd (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      Patients with cerebral stroke symptoms are typically examined using CT scanning due to its availability and efficiency. If the stroke is suspected to be ischemic, a contrast agent is injected to increase the contrast in ...
    • Characterizing Service Availability in the Tampnet Offshore LTE Network 

      Gundersen, Daniel; Jørgensen, Kaja (Bachelor thesis, 2021)
      This paper is our Bachelor's thesis as a part of the study program "Datateknologi" at the University of Stavanger, written in the Spring semester of 2021. This thesis has been written in cooperation with Tampnet AS, a ...
    • Chest compression frequency measurement from smartphone video 

      Hinna, Thomas (Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06-15)
      Dispatcher assisted telephone CPR plays an important role in increasing sur- vival rate after cardiac arrest. Providing the medical emergency dispatcher with real time chest compression frequency measurements can improve ...
    • Cite Worthiness Detection; SOTA, and Model Applicability to Other Domains 

      Shahriyari, Salman (Master thesis, 2022)
      Citations are essential parts of scientific articles and other kinds of texts, and are utilized for different purposes, including validating claims. As a result, finding and locating the suitable places in a text for ...
    • Claim detection data annotation tool 

      Nielsen, Mats Erik; Martin, Erik (Bachelor thesis, 2022)
      Automatic fact-checking relies on claim detection systems to find claims and estimate their check-worthiness. To improve current claim detection systems, we need high-quality labeled data sets. More specifically, a data ...
    • Claim detection data annotation tool 

      Nielsen Mats Erik; Martin Erik (Bachelor thesis, 2022)
      Automatic fact-checking relies on claim detection systems to find claims and estimate their check-worthiness. To improve current claim detection systems, we need high-quality labeled data sets. More specifically, a data ...
    • Classification of COVID-19 Tweets using Bidirectional Encoder Representation for Transformers(BERT) 

      Opare, Samuel (Master thesis, 2021)
      The outbreak of COVID-19 in the later part of 2019 caused a lot of panic and led to the loss of millions of lives. Much of the chaos could have been avoided if the spread was detected in the early stages of the outbreak. ...
    • Classification of histological images of bladder cancer using deep learning 

      Wetteland, Rune (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)
      In Norway bladder cancer is the fourth most common cancer type among men, with an almost 70 % increase in incidence the past four decades. For women, the increase has been about 40 %. The histological images of bladder ...
    • Classifying Dinoflagellates in Palynological Slides Using Convolutional Neural Networks 

      Nesse, Aleksander Borge (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      The petroleum industry is still one of the largest contributors to the Norwegian economy. Experts estimates that of the total reserves on the Norwegian shelf only 52 percent have been discovered. During test drilling, core ...
    • Collection and use of uncertain data in a mobile GIS 

      Stølsmark, Ragnar (Masteroppgave/UIS-TN-IDE/2009, Master thesis, 2009)
      This study looked into the possibility of saving power in mobile geographical information systems by extending the interval between GPS updates. A J2ME application has been developed to test this theory. Via a map it can ...
    • Coloring GPenSIM 

      Hatlevold, Jens Otto (Masteroppgave/UIS-TN-IDE/2008, Master thesis, 2008)
      The object of this report is to present a solution on how to implement color functionality in GPenSIM. Current version of GPenSIM is based on Place/Transition nets (PT-nets). When creating systems with PT-nets there are ...
    • Comparative analysis of mathematical models describing glucose-insulin regulation in vivo 

      Knudsen, Ingeborg Siem (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013-05)
      In this thesis, mathematical models describing glucose-insulin regulation within the human body have been studied. Glucoregulatory models are valuable in diabetes related research. Monitoring glucose-insulin dynamics, testing ...
    • Comparative Analysis of Sampling Methods for Imbalanced Classification 

      Koloszyc Piotr; Li Rongbing (Master thesis, 2023)
      Assigning class labels to instances is a key component of the machine learning technique known as classification predictive modeling. While concentrating largely on balanced classification problems, which are thought to ...
    • Comparative Analysis of Sampling Methods for Imbalanced Classification 

      Li, Rongbing; Koloszyc, Piotr (Master thesis, 2023)
      Assigning class labels to instances is a key component of the machine learning technique known as classification predictive modeling. While concentrating largely on balanced classification problems, which are thought to ...
    • Comparison of Machine Learning Services 

      Nketah, Gabriel (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)
      In this paper, three Cloud Machine Learning services are considered using the same dataset to run predictions on each of them. These services are quantitatively and qualitatively analyzed and compared by considering their ...
    • Comprehensive Python module for computing and visualizing dynamic time warping alignment: DTWPy 

      Gulzar, Hafiz Muhammad (Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06-15)
      Dynamic Time Warping (DTW) is a well-known technique used to determine alignment between two temporal sequences. DTW has been used in wide range of applications and it can be applied on any data which can be represented ...