• Mulighetsstudie av Skanem- kvartalet i Stavanger Øst 

      Haukland, Synnøve (Master thesis, 2021)
      Stavanger Øst var tidligere kategorisert som arbeidernes bydel i Stavanger, hvor lav status, dårlige levekår og et hav av fabrikker kjennetegnet bydelen. En målrettet byutvikling har i løpet av de siste årene transformert ...
    • Mulighetsstudie for Dreyersholmen 

      Olsen, Tomas (Bachelor thesis, 2022)
      Oppgaven er et mulighetsstudie for Dreyersholmen i Stavanger Øst. Området er i dag et industriområde med et tankanlegg eid av Uno-X, men er regulert til kombinert boligbebyggelse som på Lervig Brygge. Målet er å utforme ...
    • Mulighetsstudie om Robotic Process Automation (RPA) i Solvencia AS 

      Hauge, Kjell Olav (Masteroppgave/UIS-TN-IØRP/2017;, Master thesis, 2017-06)
      Denne utredningens formål er å studere mulighetene for automatisering ved bruk av Robotic Process Automation (RPA) i Solvencia AS. Selskapet vurderer å bruke RPA som et verktøy for effektivisering, strategisk fleksibilitet ...
    • Mulighetsstudie på Robotic Process Automation (RPA) i industriell lagervirksomhet 

      Garberg, Marcus (Master thesis, 2017-06-15)
      Avhandlingen har som hensikt å undersøke mulighetene for å automatisere digitale prosesser innenfor lagervirksomhet. Robotic Process Automation (RPA) er automatiseringsmetoden som har primært fokus. RPA er en ny form for ...
    • Multi objective parametric optimization and composite material performance study for master leaf spring 

      Batu, Temesgen; Lemu, Hirpa Gelgele; G. Michael, Elias (Peer reviewed; Journal article, 2021-03)
      Design optimization of product with the objective of reducing weight is one of current focuses in a product design. In the vehicle industry, in particular, weight reduction has significant impact on vehicle efficiency ...
    • A Multi-Agent Reinforcement Learning Architecture for Network Slicing Orchestration 

      Mason, Federico; Nencioni, Gianfranco; Zanella, Andrea (Chapter, 2021)
      The Network Slicing (NS) paradigm is one of the pillars of the future 5G networks and is gathering great attention from both industry and scientific communities. In a NS scenario, physical and virtual resources are partitioned ...
    • Multi-Attribute Seismic Analysis Using Unsupervised Machine Learning Method: Self-Organizing Maps 

      Mansoor, Syeda Vania (Master thesis, 2021)
      Seismic attributes are a fundamental part of seismic interpretation and are routinely used by geoscientists to extract key information and visualize geological features. By combining different findings from each attribute, ...
    • Multi-Criteria spatial-based modelling for optimal alignment of roadway by-passes in the Tlokweng Planning Area, Botswana 

      Sekulic, M; Siljeg, A; Mansourian, A; Watson, Lisa; Cavric, Branko (Peer reviewed; Journal article, 2020-05)
      In this study, Spatial Multi-Criteria Evaluation and the least cost path analysis were applied to find the optimal by-pass road alignment in the Tlokweng Planning Area in Botswana. One-At-a-Time sensitivity analysis and ...
    • Multi-fluid CFD analysis in Process Engineering 

      Hjertager, Bjørn H (Journal article; Peer reviewed, 2017)
      An overview of modelling and simulation of flow processes in gas/particle and gas/liquid systems are presented. Particular emphasis is given to computational fluid dynamics (CFD) models that use the multi-dimensional ...
    • Multi-functional Flow Assurance Chemicals: Corrosion and Kinetic Hydrate Inhibition from Maleic Anhydride:N-Vinyl Caprolactam Copolymers and Synergists 

      Kelland, Malcolm Andrew; Pomicpic, Janronel Calog; Ghosh, Radhakanta; Undheim, Audun (Peer reviewed; Journal article, 2023)
      Water-based flow assurance issues include corrosion, scale, and gas hydrate formation. Chemical solutions to mitigate these issues usually require separate inhibitors, which sometimes can lead to compatibility difficulties. ...
    • Multi-functional oilfield production chemicals: maleic-based polymers for gas hydrate and corrosion inhibition 

      Kelland, Malcolm Andrew; Pomicpic, Janronel Calog; Ghosh, Radhakanta; Undheim, Camilla; Hemmingsen, Tor; Zhang, Qian; Varfolomeev, Mikhail A.; Pavelyev, Roman S.; Vinogradova, Svetlana S. (Peer reviewed; Journal article, 2021)
      Several chemical problems can occur during the production of oil and gas through flow lines. This includes corrosion, scale deposition and gas hydrate plugging. Three separate chemicals may be needed to treat these issues. ...
    • Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection 

      Tomasetti, Luca; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli (Peer reviewed; Journal article, 2022-03)
      Time is a fundamental factor during stroke treatments. A fast, automatic approach that segmentsthe ischemic regions helps treatment decisions. In clinical use today, a set of color-coded parametric maps generated from ...
    • Multi-planar segmentation of prostate MRI images 

      Ytredal, Tord Martin; Lindeijer, Tim Nikolaas (Bachelor thesis, 2023)
      Prostate cancer (PCa) is one of the most prevalent cancers worldwide. When diagnosing PCa, magnetic resonance imaging (MRI) is a useful, non-invasive tool for imaging the prostate. Prostate MRI images are segmented to help ...
    • Multi-planar segmentation of prostate MRI images 

      Lindeijer, Tim Nikolaas; Ytredal, Tord Martin (Bachelor thesis, 2023)
      Prostate cancer (PCa) is one of the most prevalent cancers worldwide. When diagnosing PCa, magnetic resonance imaging (MRI) is a useful, non-invasive tool for imaging the prostate. Prostate MRI images are segmented to help ...
    • Multi-tag content access control in RFID system 

      Xue, Shun (Masteroppgave/UIS-TN-IDE/2010;, Master thesis, 2010)
      Radio Frequency Identification (RFID) makes great flexibility and high efficiency for data acquisition in industry and daily life. At the other side, it brings the privacy risks and multiple tags collision issue. Current ...
    • Multi-targeted trehalose-6-phosphate phosphatase I harbors a novel peroxisomal targeting signal 1 and is essential for flowering and development 

      Kataya, Amr Ramzy Abass; ElShobaky, Ahmed; Heidariahootapeh, Behzad; Nemie-Feyissa, Dugassa; Thelen, Jay J.; Lillo, Cathrine (Peer reviewed; Journal article, 2020-04)
      A putative, non-canonical peroxisomal targeting signal type 1 (PTS1) Pro-Arg-Met > was identified in the extreme C-terminus of trehalose-6-phosphate phosphatase (TPP)I. TPP catalyzes the final step of trehalose synthesis, ...
    • Multi-well Interference Test Analysis 

      Molina Landinez, Juan Luis (Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020)
      Understanding if there is any hydraulic communication, between the wells within a reservoir and a degree of the communication have been a subject of study for a long time. This information becomes crucial when injection ...
    • The multifunctionality concept in urban green infrastructure planning: A systematic literature review 

      Korkou, Maria; Tarigan, Ari Krisna Mawira; Hanslin, Hans Martin (Peer reviewed; Journal article, 2023-07)
      Urban green infrastructure is critical for providing a wide range of ecosystem goods and services that benefit the urban population. Past studies have suggested that multifunctionality concerning urban infrastructure ...
    • Multigenerational housing projects and integrating elderly 

      Yoon, Kristin Ye-Eun (Masteroppgave/UIS-TN-IØRP/2020;, Master thesis, 2020-07-15)
      The older generation today is not as “old” as the perception of the elderly is, and rather remains consistently young, active, and social. At the same time as resource worthy elderly are growing, physical segregation ...
    • Multimessenger Constraints for Ultradense Matter 

      Annala, Eemeli; Gorda, Tyler; Katerini, Evangelia; Kurkela, Eero Aleksi; Nättilä, Joonas; Paschalidis, Vasileios; Vuorinen, Aleksi (Peer reviewed; Journal article, 2022)
      Recent rapid progress in neutron-star (NS) observations offers great potential to constrain the properties of strongly interacting matter under the most extreme conditions. In order to fully exploit the current observational ...