• A Machine Learning Approach for Determining Reference Wells in the Norwegian Continental Shelf 

      Pham, Minh Hoan Bui (Master thesis, 2018)
      An unsupervised learning solution for selecting relevant reference wells for a new well that is to be drilled in the Norwegian Continental Shelf (NCS), shall be made with readily available software tools such as Python and ...
    • Machine Learning for Automatic Classification of Wind Turbines 

      Waaga, Espen (Master thesis, 2019)
      Ettersom vindparker vokser eksponentielt, er det nødvendig med økende grad av automatisk klassifisering av vindturbiner. Klyngeteknikker for å behandle datastrømmer i sanntid for alle de enkelte vindturbinene i drift er ...
    • Machine Learning for bottom-detection in Doppler Velocity Logs 

      Skatvedt, Marie (Master thesis, 2021)
      Den voksende utviklingen og utvidede bruken av autonome undervannsfarkoster (Autonomous Underwater Vehicle, AUV) har bidratt til en økende etterspørsel av nøyaktig, robust og langsiktig undervanns navigasjon. Moderne ...
    • Machine Learning for COVID-19 Detection Based on Cough Sounds 

      Djuve, Ådne Skjelbreid (Master thesis, 2021)
      Denne oppgaven beskriver utviklingen av en maskinlæringsmetode for COVID-19 deteksjon basert på hostelyder. En slik metode kan potensielt brukes som en ikke-invasiv metode for COVID-19-diagnose, og kan bidra til å redusere ...
    • 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 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 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 ...
    • 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 ...
    • 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 (Conference object; Journal article; Peer reviewed, 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 (Conference object; Journal article; Peer reviewed, 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 ...
    • Maneuvering Control of Planar Snake Robots Based on a Simplified Model 

      Rezapour, Ehsan; Hofmann, Andreas; Pettersen, Kristin Ytterstad (Conference object; Journal article; Peer reviewed, 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 ...
    • Maneuvering Control of Planar Snake Robots Using Virtual Holonomic Constraints 

      Mohammadi, Alireza; Rezapour, Ehsan; Maggiore, Manfredi; Pettersen, Kristin Ytterstad (Journal article; Peer reviewed, 2016)
      This paper investigates the problem of maneuvering control for planar snake robots. The control objective is to make the center of mass of the snake robot converge to a desired path and traverse the path with a desired ...
    • Maneuvering with safety guarantees using control barrier functions 

      Marley, Mathias; Skjetne, Roger; Basso, Erlend Andreas; Teel, Andrew R. (Journal article; Peer reviewed, 2021)
      Control barrier functions (CBFs) ensure safety of controlled dynamical systems, by restricting the control inputs to render desired sets forward invariant. In this paper we propose a dynamic guidance scheme for autonomous ...
    • Mapping a maze with a camera using a Raspberry Pi 

      Bjørnsen, Kristian (Master thesis, 2017)
      This master thesis features the implementation of a complete image processing, mapping and communication system on a Raspberry Pi for the characterization and mapping of a maze from the air. The system was implemented in ...
    • Mapping and Navigation for collaborating mobile Robots. 

      Thon, Eirik (Master thesis, 2016)
      Two modules of a software system for exploration and mapping using mobile robots have been created. The first module has the task of generating a map from the measurements of the robot, and the second module uses the map ...