• Machine learning for detecting the activity of fishing vessels 

      Spieler, Erik (Master thesis, 2023)
      Denne oppgaven presenterer en ny tilnærming til å forutsi aktivitetene til norske fartøyer, spesielt de som driver med å fiske norsk vårgytende sild (NSSH). Studien forsøkte å klassifisere atferden til fiskefartøyer ved å ...
    • Machine Learning for Detection of Fronts in Ocean Model and Remote Sensing Data 

      Haglund, Thomas (Master thesis, 2022)
      Havfronter er overganger mellom vannmasser med ulike fysiske egenskaper som temperatur, salinitet og tetthet. Fronter kan være utfordrende å detektere da de er komplekse og har «weak edges» (svake gradienter). Dette fører ...
    • Machine learning for identification of features in ocean model and remote sensing data 

      Wanvik, Even (Master thesis, 2020)
      Å forutsi havdynamikk ved bruk av numeriske modeller er utfordrende på grunn av uforutsigbare ikke-lineariteter og begrenset tilgang til fysiske observasjoner. Havvirvler utgjør konseptuelle og praktiske utfordringer for ...
    • Machine learning for identification of individual salmon behaviour in aquaculture 

      Smedshaug, Even Åge (Master thesis, 2023)
      The modern aquaculture industry suffers from low observability and control of conditions in the aquaculture cages. In order to better understand fish behaviour in both normal and stressful conditions, more knowledge of ...
    • Machine learning for surge modeling 

      Houseb, Emin (Master thesis, 2022)
      Den norske petroleumsindustrien er ikke bare en Norges største inntektskilder, men den er også en av verdens størse gass- og oljeleverandører i det globale markedet. Equinor opplever variasjoner i væskerate på topside (et ...
    • Machine learning in robotics: Explaining autonomous agents in real time 

      Gjærum, Vilde Benoni (Doctoral theses at NTNU;2023:134, Doctoral thesis, 2023)
      Artifcial intelligence (AI) and machine learning (ML) offer a number of benefits in multiple applications within the field of robotics, such as computer vision, object grasping, motion control, and planning. Although AI ...
    • Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives 

      Schweidtmann, Artur M.; Clayton, Adam D; Holmes, Nicholas; Bradford, Eric; Richard A, Bourne; Lapkin, AA (Journal article; Peer reviewed, 2018)
      Automated development of chemical processes requires access to sophisticated algorithms for multi-objective optimization, since single-objective optimization fails to identify the trade-offs between conflicting performance ...
    • Machine Learning-Enabled Predictive Modeling of Building Performance for Electricity Optimization 

      Hestnes, Henrik Larsson (Master thesis, 2023)
      Med den raske fremgangen i maskinlæring har prediktiv modellering dukket opp som en attraktiv metode for å optimalisere energibruk, også innen bygningssektoren. Denne avhandlingen utforsker ulike modelleringsparadigmer for ...
    • Machine Vision for Defect Detection in Fisheries and Fish Processing Applications 

      Mathiassen, John Reidar (Doktoravhandlinger ved NTNU, 1503-8181; 2009:203, Doctoral thesis, 2009)
      The fisheries and fish processing industries have high labor costs. In part, this is due to visual inspection tasks, which are found in these industries, being so complex that humans are needed to do the inspection. One ...
    • Machine vision for quality sorting of salmonid fish eggs 

      Tjore, Marius Frantzen (Master thesis, 2020)
      I fiskeoppdrett er kvalitetskontroll og fjerning av døde fiskeegg, også omtalt som rogn, første steg i produksjonsprosessen. Mengden av rogn som overlever dette stadiet og vokser til fiskeyngel er tungt knyttet til hvor ...
    • Magnetic Field Energy Harvesting in Railway 

      Espe, Asbjørn Engmark; Haugan, Thomas Sagvold; Mathisen, Geir (Peer reviewed; Journal article, 2022)
      Magnetic field energy harvesting (MFEH) is a method by which a system can harness an ambient, alternating magnetic field in order to scavenge energy. Presented in this article is a novel application of the concept aimed ...
    • Magnetic field norm SLAM using Gaussian process regression in foot-mounted sensors 

      Frida, Viset; Gravdahl, Jan Tommy; Kok, Manon (Chapter, 2021)
      We propose an application of magnetic field norm simultaneous localisation and mapping to measurements from a foot-mounted sensor for pedestrian navigation. The algorithm is, to the best of the authors’ knowledge, the first ...
    • Magnetic levitation system: Design, prototyping and testing of a digital PID-controller 

      Brønstad, Martin; Deila, Jørn Olav; Dyrskog, Jørgen; Langklopp, Markus (Bachelor thesis, 2022)
      Denne bacheloroppgaven handler om design, utvikling og bygging av en magnetisk levitasjonsplattform samt posisjonsregulering av en leviterende magnet ved hjelp av en digital PID-regulator. For å oppnå dette har en matematisk ...
    • Magnetic levitation system: Design, prototyping and testing of a digital PID-controller 

      Brønstad, Martin; Deila, Jørn Olav; Dyrskog, Jørgen; Langklopp, Markus (Bachelor thesis, 2022)
      Denne bacheloroppgaven handler om design, utvikling og bygging av en magnetisk levitasjonsplattform samt posisjonsregulering av en leviterende magnet ved hjelp av en digital PID-regulator. For å oppnå dette har en matematisk ...
    • Magnus the Chess Robot 

      Unger, Tobias Helstad (Master thesis, 2014)
      The goal of this thesis was to create a low-cost chess-playing robot to help progress the field of small-scale robotics and make it more available for personal use. To achieve this, methods for moving pieces on a chessboard ...
    • Main glucose hepatic fluxes in healthy subjects predicted from a phenomenological-based model 

      Builes-Montano, Carlos E.; Pérez, Laura Lema; Garcia-Tirado, Jose; Avarez, Hernan (Peer reviewed; Journal article, 2022)
      Background: The liver has a unique role in blood glucose regulation in postprandial, postabsorptive, and fasting states. In the context of diabetes technology, current maximal models of glucose homeostasis lack a proper ...
    • Mamba - A waterproof snake robot with tactile sensing 

      Liljebäck, Pål; Stavdahl, Øyvind; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (Chapter, 2014)
      This paper presents the snake robot Mamba, which is a modular, reconfigurable, and waterproof experimental platform developed to support the ongoing research on snake robot locomotion, including underwater locomotion. A ...
    • Managed Pressure Cementing 

      Meneses Pereira da Silva, Joao Francisco da Cunha (Master thesis, 2015)
      Managed Pressure Cementing (MPC) is a method to cement deep offshore wells in a safer, more controlled and more efficient way. It will end up being less costly because by applying managed pressure drilling (MPD) first the ...
    • Management of harmonic propagation in a marine vessel by use of optimization 

      Skjong, Espen; Ochoa-Gimenez, Miguel; Molinas Cabrera, Maria Marta; Johansen, Tor Arne (Chapter, 2015)
      Advances in power electronics drive systems for variable speed operation has enabled extensive use of such solutions in the propulsion and thruster systems of marine vessels. These solutions however introduce current and ...
    • Maneuvering Control of Planar Snake Robots Based on a Simplified Model 

      Rezapour, Ehsan; Hofmann, Andreas; Pettersen, Kristin Ytterstad (Chapter, 2014)
      This paper considers maneuvering control of planar snake robots, for which the equations of motion are described based on a simplified model. In particular, we aim to stabilize a desired straight line path for the position ...