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Characteristic current flow through a stocked conical sea-cage with permeable lice shielding skirt
(Peer reviewed; Journal article, 2021)The characteristic current flow field around a 55 m deep full-scale stocked conical Atlantic salmon sea-cage equipped with a 10 m permeable skirt was studied experimentally using acoustic Doppler velocimeters and profilers. ... -
Characterization of a commercial LIDAR module for use in camera triggering system
(Master thesis, 2018)Light based time of flight sensors have seen a rapid development from traditional rotating LiDAR sensors in the recent years. Lower price, smaller form-factor and increased robustness trough solid-state are key factors for ... -
Characterization of behaviour in tank rearing of salmon using machine vision and machine learning
(Master thesis, 2020)Automatisk klassifisering av lakseadferd er en etterspurt løsning i oppdrettsindustrien. God klassifisering vil hjelpe med tidlig deteksjon av uønskede situasjoner, som f. eks spredningen av en sykdom eller H2S opphopning. ... -
Characterization of body diodes in the-state-of-the-art SiC FETs-Are they good enough as freewheeling diodes?
(Chapter, 2018)This paper investigates the switching phenomenon of body diodes in the state-of-the-art discrete SiC FETs. A comparative performance evaluation of the body diodes in planar and double-trench SiC MOS-FETs, and trench cascode ... -
Characterizing Spectral Response in Thermal Environments, the HYPSO-1 Hyperspectral Imager
(Journal article; Peer reviewed, 2022) -
Chat Functionality for Communication between Centralized Control Room and Field Operators in a Nuclear Power Plant
(Master thesis, 2013)The Nuclear Power Industry nowadays is still operating with communication equipment that does not utilize the technology that has become common the last 20 years. There is a desire to upgrade these communication systems, ... -
Choice and design of 6 degree-of-freedom observer for ROVs operating in fish farms in the presence of time-varying environmental disturbances
(Master thesis, 2023)Fjernstyrte undervannsfarkoster (ROVer) har blitt et nyttig verktøy for inspeksjon og vedlikehold i oppdrettsnæringen. Denne oppgaven dokumenterer valg, utvikling, implementering og fullskala testing av en observer til en ... -
CIRAL: a hybrid active learning framework for plankon taxa labeling
(Journal article; Peer reviewed, 2021)With the complex structure of planktonic species and an immense amount of data captured from autonomous underwater vehicles (AUVs), a large burden is placed on the domain experts for plankton taxa labeling. At the same ... -
Classification and Interpretation of Cerebral Palsy-related movements by means of Multivariate Analysis
(Master thesis, 2019)Cerebral parese er en samlebetegnelse på tilstander med endret motorisk funksjon forårsaket av en permanent skade på hjernen. Påvirkningen denne skaden har på motorisk funksjon er veldig individuelt og er derfor vanskelig ... -
Classification in hyperspectral images by independent component analysis, segmented cross-validation and uncertainty estimates
(Journal article; Peer reviewed, 2018)Independent component analysis combined with various strategies for cross-validation, uncertainty estimates by jack-knifing and critical Hotelling’s T2 limits estimation, proposed in this paper, is used for classification ... -
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 ...