Now showing items 3201-3220 of 18565

    • 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 an improved diagnostic pathway of prostate cancer in a small multi-parametric magnetic resonance data regime 

      Fernandez-Quilez, Alvaro (PhD thesis UiS;, Doctoral thesis, 2022-06)
      Prostate Cancer (PCa) is the second most commonly diagnosed cancer among men, with an estimated incidence of 1.3 million new cases worldwide in 2018. The current diagnostic pathway of PCa relies on prostate-specific antigen ...
    • 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 learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability 

      Fernandez Quilez, Alvaro (Peer reviewed; Journal article, 2022)
      AI systems are quickly being adopted in radiology and, in general, in healthcare. A myriad of systems is being proposed and developed on a daily basis for high-stake decisions that can lead to unwelcome and negative ...
    • Deep Learning over 20 Years of Cinema Ticket Sales 

      Pettersen, Markus (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      For many years, movie theaters across Norway have been manually setting up its weekly movie schedule according to the prior knowledge of the operators. This is a slow and laborious method that in this day and age is outdated ...
    • Deep learning-based automated detection and clustering of potholes using variational autoencoder for efficient road maintenance 

      Grønner, Daniel; Eik, Elisabeth (Master thesis, 2023)
      In this study we explore the possibility of using unsupervised learning for pothole detection. We will use images of roads from Brazil where both potholes and cracks can be present in the images, as well as clean images ...
    • The deep mountains of Denmark - a study of the effects of orthographic depth on reading, spelling and vocabulary in a first and in a second language 

      Rønneberg, Vibeke (Masteroppgave/UIS-HF-IKS/2011;, Master thesis, 2011)
      This thesis investigates the effects of orthographic depth of L1 on orthographic learning and reading, spelling and vocabulary knowledge in L1 and L2. Children from three countries, Denmark, Norway and Sweden were tested ...
    • Deep Neural Attention for Misinformation and Deception Detection 

      Mishra, Rahul (PhD thesis UiS;, Doctoral thesis, 2021-06)
      At present the influence of social media on society is so much that without it life seems to have no meaning for many. This kind of over-reliance on social media gives an opportunity to the anarchic elements to take undue ...
    • 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 ...
    • Deep time rock art in SW-Norway 

      Kjeldsen, Gitte (Journal article; Peer reviewed, 2017)
      Rogaland in SW Norway has a large number of rock art sites within relatively limited geographical areas. I wish to present a longlived rock art tradition that marked places within the landscape using five examples of ...
    • Deep water well intervention and fluid selection 

      Dulger, Merve (Masteroppgave/UIS-TN-IPT/2012;, Master thesis, 2012)
      Worldwide, the number of subsea wells showed a substantial increase over the last decade. This trend is particularly relevant for deep- and ultra deep-water field developments, indicating that the offshore oil and gas ...
    • A deeper understanding of service users’ needs, self-management support and user involvement in Healthy Life Centres: A qualitative study on lifestyle change in persons with overweight or obesity 

      Salemonsen, Elin (PhD thesis UiS;520, Doctoral thesis, 2020-06)
      Background: Worldwide, including Norway, overweight and obesity present some of the greatest health challenges. Since the 1980s, the incidence has tripled, leading to a subsequent high prevalence of chronic lifestyle ...
    • Deepwater Challenges & Well Control 

      Limanski, Ivan (Masteroppgave/UIS-TN-IPT/2017;, Master thesis, 2017)
      Deepwater challenges and well control problems are important drilling issues, as operators move into deeper waters and more challenging environments. The deepwater technology and the complexity of deepwater operations have ...
    • Deepwater drilling problems 

      Kolade, Olawale (Masteroppgave/UIS-TN-IPT/2009, Master thesis, 2009)
      Several problems encountered in the deepwater makes it very difficult in terms of accessibility for drilling. In this work, the major problems in the deepwater are identified, and discussed from different perspectives. ...
    • Deepwater operations - running and cementing casing with small clearances 

      Joar, Grimsrud (Masteroppgave/UIS-TN-IPT/2012;, Master thesis, 2012)
      The petroleum demand is increasing and the line between success and failure is marginal. Thus, the drilling industry moves further into deeper waters, stretching the limits of engineering, economics and new technology to ...
    • Defect detection in industrial images 

      Beemnet, S Yohannes (Master thesis, 2023)
      This thesis aims to identify defects in industrial images using Printed Circuit Board(PCB) images. Defect detection in industrial images is crucial in this era that we are living in today. There is a rising demand for ...
    • Defective mitochondrial DNA homeostasis in the substantia nigra in Parkinson disease 

      Dölle, Christian; Flønes, Irene Hana; Sanchez Nido, Gonzalo; Miletic, Hrvoje; Osuagwu, Nelson; Kristoffersen, Stine; Lilleng, Peer Kåre; Larsen, Jan Petter; Tysnes, Ole-Bjørn; Haugarvoll, Kristoffer; Bindoff, Laurence; Tzoulis, Charalampos (Journal article; Peer reviewed, 2016-11)
      Increased somatic mitochondrial DNA (mtDNA) mutagenesis causes premature aging in mice, and mtDNA damage accumulates in the human brain with aging and neurodegenerative disorders such as Parkinson disease (PD). Here, we ...
    • Defective mitochondrial DNA homeostasis in the substantia nigra in Parkinson disease 

      Dölle, Christian; Flønes, Irene Hana; Sanchez Nido, Gonzalo; Miletic, Hrvoje; Osuagwu, Nelson; Kristoffersen, Stine; Lilleng, Peer Kåre; Larsen, Jan Petter; Tysnes, Ole-Bjørn; Haugarvoll, Kristoffer; Bindoff, Laurence; Tzoulis, Charalampos (Journal article; Peer reviewed, 2016-11)
      Increased somatic mitochondrial DNA (mtDNA) mutagenesis causes premature aging in mice, and mtDNA damage accumulates in the human brain with aging and neurodegenerative disorders such as Parkinson disease (PD). Here, we ...
    • Defending against a stockpiling terrorist 

      Hausken, Kjell; Zhuang, Jun (Journal article; Peer reviewed, 2011)
      A government defends against a terrorist who attacks repeatedly and stockpiles its resources over time. The government defends an asset and attacks the terrorist’s resources. The terrorist defends its resources and attacks ...
    • Defense Strategies for Asymmetric Networked Systems with Discrete Components 

      Rao, Nageswara S. V.; Ma, Chris Y.T.; Hausken, Kjell; He, Fei; Yau, David K.Y.; Zhuang, Jun (Peer reviewed; Journal article, 2018)
      We consider infrastructures consisting of a network of systems, each composed of discrete components. The network provides the vital connectivity between the systems and hence plays a critical, asymmetric role in the ...