• Decommissioning of petroleum installations—major policy issues 

      Osmundsen, Petter; Tveterås, Ragnar (Journal article; Peer reviewed, 2003-12)
      Following the Brent Spar controversy, the OSPAR countries reached a unanimous agreement in 1998 for the future rules for disposal of petroleum installations. The vast majority of existing offshore installations will be ...
    • Deconvolution approach for floating wind turbines 

      Liu, Zirui; Gaidai, Oleg; Sun, Jiayao; Xing, Yihan (Peer reviewed; Journal article, 2023-05)
      Green renewable energy is produced by floating offshore wind turbines (FOWT), a crucial component of the modern offshore wind energy industry. It is a safety concern to accurately evaluate excessive weights while the FOWT ...
    • 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 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 This is a slow and laborious method that in this day and age is outdated ...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 ...
    • Deep Learning-Driven Diagnostic and Prognostic Solutions for Histopathological Images of Bladder Cancer 

      Fuster Navarro, Saul (PhD thesis UiS;, Doctoral thesis, 2024)
      This thesis presents a comprehensive investigation into the development and application of advanced computational techniques for the extraction of crucial diagnostic and prognostic information from histological images of ...
    • 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 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 ...
    • 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 ...
    • 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 ...
    • Defensive Distillation-based Adversarial Attack Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks 

      Catak, Ferhat Özgur; Kuzlu, Murat; Catak, Evren; Cali, Umit; Guler, Ozgur (Peer reviewed; Journal article, 2022-09)
      Future wireless networks (5G and beyond), also known as Next Generation or NextG, are the vision of forthcoming cellular systems, connecting billions of devices and people together. In the last decades, cellular networks ...
    • Defining angular and radial positions and parameters for myocardial pixels in cardiac MR images 

      Engan, Kjersti; Woie, Leik; Eftestøl, Trygve (Journal article; Peer reviewed, 2014)
      In this work we aimed to automatically produce a measure for the angular and radial position of all pixels within the myocardium in CMR images, left ventricle, short axis view. A reference axis is chosen in an anatomically ...
    • Definition of reliability and maintenance concepts in oil and gas - validity aspects 

      Selvik, Jon Tømmerås; Abrahamsen, Eirik Bjorheim; Kurt J, Engemann (Peer reviewed; Journal article, 2020)
      International standards have a key role in establishing consistent terminology. Amongst these is the recently published and revised ISO standard on reliability and maintenance data collection and exchange, i.e. ISO 14224:2016. ...
    • Degradering av materialer, svikttyper og kompenserende tiltak relatert til forlengelse av levetid på aldrende offshore produksjonsinstallasjoner 

      Andreas, Henriksen (Masteroppgave/UIS-TN-IKM/2013;, Master thesis, 2013)
      Flere offshore olje og gassinstallasjoner i Nordsjøen har vært i drift i over 20 år, noe som tilsier at mange komponenter og strukturer har vært i drift lengre enn hva de var designet for. Det vil si at topside rørsystemer ...
    • Delayed Integrity Check for IEC 61850 Communication 

      Gudmestad, Racin (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      Electrical substations transform voltage from high to low, or low to high for transmission and distribution, and are a critical part of our infrastructure. The state of a substation is continuously measured for monitoring, ...