• Machine learning for underground gas storage with cushion CO2 using data from reservoir simulation 

      Helland, Johan Olav; Friis, Helmer André; Assadi, Mohsen; Nagy, Stanislaw (Peer reviewed; Journal article, 2023)
      Underground natural gas storage (UNGS) is a means to store energy temporarily for later recovery and use. In such storage operations, carbon dioxide (CO2) can be injected as cushion gas to improve the operating efficiency ...
    • Machine learning in reservoir permeability prediction and modelling of fluid flow in porous media 

      Zolotukhin, Anatoly; Gayubov, A. T. (Peer reviewed; Journal article, 2019)
      Reliable data on the properties of the porous medium are necessary for the correct description of the process of displacing hydrocarbons from the reservoirs and forecasting reservoir performance. The true permeability of ...
    • Machine learning methods for assessing value-of-information 

      Shahali, Reihaneh (Master thesis, 2022)
      One of the most useful features of decision analysis is its ability to distinguish between constructive and wasteful information gathering. Value-of-information (VOI) and sequential information gathering (Value-of-Flexibility, ...
    • Machine Learning methods to detect improper and irrelevant citations 

      Shenavari Shirazi, Anousheh (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      The focus of this study is on the relation between papers and their citations using Machine Learning algorithms to detect improper and irrelevant citations. The model takes the paper’s citations and classifies them into ...
    • Machine Learning techniques for Prediction of Rock Properties from Reservoir Well Logs 

      Skjeldal, Miranda Ebsworth (Master thesis, 2021)
      Estimation of reservoir parameters is important in reservoir evaluation and estimation of petroleum volume. Reservoir parameters such as oil saturation, water saturation and porosity are derived from petrophysical logs or ...
    • Machine learning techniques for the detection of shockable rhythms in automated external defibrillators 

      Figuera, Carlos; Irusta, Unai; Morgado, Eduardo; Aramendi, Elisabete; Ayala, Unai; Wik, Lars; Kramer-Johansen, Jo; Eftestøl, Trygve; Alonso-Atienza, Felipe (Journal article; Peer reviewed, 2016-07)
      Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for ...
    • Machine learning to detect corporate greenwashing 

      Lien, Audun Stjernelund (Master thesis, 2023)
      This master thesis focuses on developing an automatic approach to detect corporate greenwashing. To achieve this, data must be collected, and green claims found from this data must be fact checked. The first step is to ...
    • Machine learning, unsupervised learning and stain normalization in digital nephropathology 

      Jon Tveit (Master thesis, 2023)
      Chronic kidney disease is a serious health challenge and still, the field of study lacks awareness and funding. Improving the efficiency of diagnosing chronic disease is important. Machine learning can be used for various ...
    • Machine Learning-Based Analysis of Test Results 

      Sun, Xiaoyan (Master thesis, 2023)
      A comprehensive understanding of the overall performance of the tests is critical in software testing to make necessary adjustments to the test schedule or conduct targeted investigations. In ABB Bryne, the software testing ...
    • Machines like us? An occupational health perspective on machine learning (artificial intelligence) 

      Malik, Rubia Naz (Master thesis, 2022)
      Summary Aim Focusing on management theories and occupational health and safety (OSH) principles, the use of machine learning (AI) may give benefits within risk management, economical costs, as well as prevent sickness ...
    • Macroeconomic Determinants of Green Bond Spreads Applying the conventional bonds’ analysis approach 

      Matuseviciene, Henrika; Poskute, Vaida (Master thesis, 2022)
      This research focuses on macroeconomic determinants of green bond yield spreads, using the Fixed effects panel regression model. We investigate 21 bonds issued by International Bank for Reconstruction and Development (IBRD) ...
    • Macroeconomic Determinants of Green Bond Spreads: Applying conventional bonds' analysis approach 

      Matuseviciene, Henrika; Poskute, Vaida (Master thesis, 2022)
      This research focuses on macroeconomic determinants of green bond yield spreads, using Fixed effects panel regression model. We investigate 21 bonds issued by International Bank for Reconstruction and Development (IBRD) ...
    • Macular hole Delphi consensus statement (MHOST) 

      Confalonieri, Filippo; Haave, Hanna; Binder, Susanne; Bober, Agnieszka Monika; Bragadottir, Ragnheidur; Faber, Rowan Thomas; Bærland, Thomas Pedersen; Forsaa, Vegard Asgeir; Gonzalez-Lopez, Julio J.; Govetto, Andrea; Haugstad, Marta; Ivastinovic, Domagoj; Jenko, Neža Čokl; Nicoară, Simona Delia; Kaljurand, Kuldar; Kozak, Igor; Kvanta, Anders; Lytvynchuk, Lyubomyr; Nawrocka, Zofia Anna; Pajic, Sanja Petrovic; Petrovič, Mojca Globočnik; Radecka, Liga; Rehak, Matus; Romano, Mario R.; Ruban, Andrii; Speckauskas, Martynas; Stene-Johansen, Ingar; Stranak, Zbynek; Thaler, Angela; Thein, Anna Sophie Aagaard; Theocharis, Ioannis; Tomic, Zoran; Yan, Xiaohe; Zekolli, Muhamet; Zhuri, Burim; Znaor, Ljubo; Petrovski, Beata Eva; Kolko, Miriam; Lumi, Xhevat; Petrovski, Goran (Peer reviewed; Journal article, 2023)
      Purpose To derive a Delphi method-based consensus for the surgical management of Full Thickness Macular Hole (FTMH) and Lamellar Macular Hole (LMH). Methods 37 expert VR surgeons from 21 mainly European countries ...
    • Madla Sør in Rogaland, Southwest Norway : a settlement with long continuity? 

      Lindell, Satu Helena (Chapter, 2023)
      This article discusses the continuity/discontinuity in Iron Age settlements in Norway. The article presents finds and research at the site of Madla Sør in Stavanger, Rogaland county, Southwest Norway, and particularly the ...
    • Magical Images: The Effect of Illustrations in Harry Potter and the Philosopher’s Stone on the Reading Experience in Foreign Language Readers 

      Tesaker, Espen. (Master thesis, 2021)
      This thesis examines the effect that illustrations in authentic novels have on comprehension, reading enjoyment and the experience while reading for students attending the last year in primary school. The research will ...
    • Magnetic Resonance: Simulating Spin Magnetization 

      Holst-Larsen, Einar (Bachelor thesis, 2022)
      Magnetic resonance (MR) imaging modalities provide non-invasive and non-harmful in vivo imaging tools for clinical investigations. The standard clinical MR protocols used in brain examinations comprise several anatomical ...
    • Magnus Olsens forskning om dei norske staðir- og land-namna 

      Særheim, Inge (Journal article; Peer reviewed, 2010-01)
      The topic of this article is Magnus Olsen's study of settlement names ending in -stad (ON - staðir) and - land. In NG as well as in Olsen's book Ættegård og helligdom (1926), published in English in 1928 with the title ...
    • Main pump start-up pressure limitation control system when using thixotropic drilling fluids 

      Radin, Cedomir (Masteroppgave/UIS-TN-IPT/2013;, Master thesis, 2013-07-01)
      Everyday drilling operations in the Norwegian Continental Shelf become more challenged. They include drilling of highly inclined long wells in depleted reservoirs within narrow geo-pressure margins. In addition, drilling ...
    • Main Territories in South Norway in the Mesolithic 

      Selsing, Lotte (Peer reviewed; Journal article, 2020-04)
      The focus of this paper is on regionality, the use of main territories and how they are interlinked in the Mesolithic in south Norway during the culmination of the settlement of the mountain area, 8500–7600 cal BP. The ...