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Classification of Corrosion and Coating Damages on Bridge Constructions using Deep Learning
(Master thesis, 2019)Denne masteroppgaven presenterer en sammenligning av ytelse for forskjellige nevrale nettverk på bildeklassifisering av korrosjon og beleggskader på brukonstruksjoner. Totalt 9300 bilder, delt inn i fire klasser; ... -
Classification of Drilled Lithology in Real-Time Using Deep Learning with Online Calibration
(Peer reviewed; Journal article, 2021)Decision making to optimize the drilling operation is based on a variety of factors, among them real-time interpretation of drilled lithology. Because logging while drilling (LWD) tools are placed some meters above the ... -
Classification of fish body parts in an underwater environment
(Master thesis, 2017)This master thesis is the result of work conducted over the course of a semester with the goal of invstigating a possible approach to recognizing fish parts in a video stream from a camera system situated in an underwater ... -
Classification of Fluids in a closed Tank with Temperature changes and Noise
(Master thesis, 2014)In order to meet the increasingly stringent emission standards for heavy duty commercial vehicles world wide, systems to reduce the emission of NOx from diesel engines are required. Selective catalytic reduction, using ... -
Classification of low-density EEG-based epileptic seizures by energy and fractal features based on EMD
(Journal article, 2019)We are here to present a new method for the classification of epileptic seizures from electroencephalogram (EEG) signals. It consists of applying empirical mode decomposition (EMD) to extract the most relevant intrinsic ... -
Classification of RGB Color Stimuli in Source Space
(Master thesis, 2023)Denne oppgaven utforsker muligheten for å bruke elektroencefalografi (EEG) signaler for å avgjøre hvorvidt en person undergår rød, grønn, eller blå (RGB) visuelle stimuli. Dersom en algoritme kan utvikles, som kan klassifisere ... -
Classifying Lithofacies from Textural Features in Whole Core CT-Scan Images
(Peer reviewed; Journal article, 2021)X-ray computerized tomography (CT) is a nondestructive method of providing information about the internal composition and structure of whole core reservoir samples. In this study we propose a method to classify lithology. ... -
Closed-Loop Collision Avoidance System for the Revolt Model-Scale Vessel
(Master thesis, 2020)I denne oppgaven har et antikollisjons-system i lukke sløyfe basert på scenariobasert modellprediktive regulator blitt utviklet og testet for autonome overflatefartøy ved å bruke 1:20 modellskalabåten ReVolt. Antikollisjons-system ... -
Closed-loop predictions in reservoir management under uncertainty
(Journal article; Peer reviewed, 2017)Uncertainty is a major challenge in reservoir management. To take the uncertainty into consideration, optimization can be carried out over a set of scenarios. Most approaches on reservoir management under uncertainty ... -
Closed-Loop-RRT* path planning for a vehicle-trailer system
(Master thesis, 2022)I de siste 10 årene har det blitt gjort betydelige fremskritt innenfor utvikling av autonome kjøretøy. Dette er motivert av autonome kjøretøys potensiale til å både være ressursbesparende og skape tryggere kjøretøy. Denne ... -
A closer look at a spectrographic wavelength calibration
(Peer reviewed; Journal article, 2022)Methods to spectrally calibrate imaging spectrographs, also known as Hyperspectral Imagers (HSIs), are common and known, but few look into how well the wavelength calibration performs. When building hyperspectral instruments ... -
Clustering and Classification of hyperspectral images on the HYPSO CubeSat
(Master thesis, 2021)NTNU SmallSat Lab utvikler HYPSO, en kubesatellitt som skal overvåke havet ved bruk av et hyperspektralt kamera. Prosesseringen av hyperspektrale bilder ombord blir gjort serielt i en prosesseringskjede som ble utviklet ... -
Clutter Mitigation for Target Tracking
(Doktoravhandlinger ved NTNU, 1503-8181; 2010:131, Doctoral thesis, 2012)Traditionally, the literature on target tracking assumes that the targets of interest are embedded in homogenous Rayleigh distributed background noise. It is most often assumed that purely kinematic point measurements are ... -
A CNN-based classifier for probe to skin contact in a robotic ultrasound system
(Master thesis, 2018)Abstract: In an ultrasound examination the sonographer must be precise and apply the right amount of pressure to get good quality images. An examination takes valuable time which could be reduced by introducing a robotic ... -
CNN-based Remaining Useful Life Prediction of Lithium Ion Batteries Using Fast-Rate Incremental Capacity
(Master thesis, 2023)Lithium-ione-batterier spiller en sentral rolle i det grønne skiftet gjennom bruk i energilagring og elektrifisering av transportsektoren. Det er midlertidig utfordringer knyttet til forringelse av lithium-ione-batterier, ... -
A Co-operative Hybrid Model For Ship Motion Prediction
(Peer reviewed; Journal article, 2021)Dynamic models of ships have been widely used for model-based control and short-term prediction in the past. Identifying the parameters of such models has mainly been done through scaled model tests, full scale tests or ... -
CO2-rensing av eksosgass fra kullkraftverket i Longyearbyen
(Master thesis, 2008)I denne rapporten undersøkes mulighetene for CO2-rensing av eksosgassen fra det eksisterende kullkraftverket i Longyearbyen. Dette er gjort som en uavhengig studie motivert av prosjektet CO2-fritt Svalbard. Omfanget av ... -
Cobblestone effect on rigid-hull surface effect ship
(Master thesis, 2022)Abstract will be available on 2025-06-06 -
Collaborating Robots - Multi-robot Exploration of an Unknown Environment
(Master thesis, 2014)This thesis aims to develop and implement an algorithm for collaboration, such that two LEGO-robots can collaborate on mapping an unknown area using infrared sensors, a simultaneous localization and mapping (SLAM) algorithm ... -
Collaborating Robots: Multi-robot Exploration of an Unknown Environment
(Master thesis, 2014)This thesis aims to develop and implement an algorithm for collaboration, such that two LEGO-robots can collaborate on mapping an unknown area using infrared sensors, a simultaneous localization and mapping (SLAM) algorithm ...