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Automated Detection and Removal of EEG Artifacts for an RGB Stimulation-Based Brain-Computer Interface
(Master thesis, 2023)Denne oppgaven undersøker metoder for å fjerne okulære artefakter (OA) fra registrerte EEG-signaler og evaluerer deres effektivitet og gjennomførbarhet for bruk i et fremtidig hjerne-datamaskin grensesnitt (BCI). Motivasjonen ... -
Automated Detection and Removal of EEG Artifacts for an RGB Stimulation-Based Brain-Computer Interface
(Master thesis, 2023)Denne oppgaven undersøker metoder for å fjerne okulære artefakter (OA) fra registrerte EEG-signaler og evaluerer deres effektivitet og gjennomførbarhet for bruk i et fremtidig hjerne-datamaskin grensesnitt (BCI). Motivasjonen ... -
Automated Docking for Marine Surface Vessels - A Survey
(Peer reviewed; Journal article, 2023)Research on motion control systems for marine surface vessels has generated a vast academic literature and many industrial applications since the early 20th century. The recent focus on autonomous ships has sparked intensive ... -
Automated docking for underactuated surface vessels: A docking-adapter assisted approach
(Master thesis, 2023)Når man designer autonome fartøy for dokk-til-dokk-operasjoner, er det avgjørende å automatisere alle aspekter av reisen. Dokk-til-dokk-operasjonen består typisk av tre faser: frakobling, transport og dokking. Frakobling ... -
Automated First-Feeding and Monitoring System for Marine Hatchery
(Master thesis, 2013)CodTech provides the Norwegian, and European aquaculture industry with facilities for testing new techniques and equipment related to the rearing of marine fish larvae. The facilities provides cutting edge technology to ... -
Automated Inspection of Quartz Crucibles - For use in the Czochralski Process
(Master thesis, 2015)As the energy consumption in the world continues to increase it becomes more important to find alternative sources of electric energy. Photovoltaics is a method which utilizes the sun to create electricity. The Czochralski ... -
Automated Log Data Analytics Workflow – The Value of Data Access and Management to Reduced Turnaround Time for Log Analysis
(Peer reviewed; Journal article, 2022)The oil and gas industry of today is undergoing rapid digitalization. This implies a massive effort to transform standard work procedures and workflows into more efficient practices and implementations using machine learning ... -
Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization
(Peer reviewed; Journal article, 2022)High-density Electroencephalography (HD-EEG) has proven to be the EEG montage that estimates the neural activity inside the brain with highest accuracy. Multiple studies have reported the effect of electrode number on ... -
Automated Planning and Control for a Simulated Robot
(Master thesis, 2018)The early work in robotics and Artificial Intelligence showed great promise, but because of the challenges and difficulties met in the early phases, the two fields drifted apart. Artificial Intelligence focused more on ... -
Automated porosity estimation using CT-scans of extracted core data
(Peer reviewed; Journal article, 2022)Estimation of porosity at a millimeter scale would be an order of magnitude finer resolution than traditional logging techniques. This enables proper description of reservoirs with thin layers and fine scale heterogeneities. ... -
Automated Segmental Cardiac Monitoring by Advanced Computerized Artificial Intelligence on Intra-Operative Three-Dimensional Ultrasound Recordings
(Master thesis, 2021)Medisinsk ultralyd er et effektivt verktøy for å hente ut data fra menneskekroppens indre og praktiseres ofte i kirurgien for å vurdere hjertefunksjon. Perioperativ hjerteovervåking er viktig for diagnostikk tidlig i ... -
Automated well log depth matching: Late fusion multimodal deep learning
(Peer reviewed; Journal article, 2022)Petrophysical interpretation and optimal correlation extraction of different measurements require accurate well log depth matching. We have developed a supervised multimodal machine learning alternative for the task of ... -
Automated Well-Log Depth Matching – 1D Convolutional Neural Networks Vs. Classic Cross Correlation
(Peer reviewed; Journal article, 2022)During drilling and logging, depth alignment of well logs acquired in the same borehole section at different times is a vital preprocessing step before any petrophysical analysis. Depth alignment requires high precision ... -
Automatic and practical route planning for ships
(Master thesis, 2019)Hvis et skip skal seile fra en lokasjon til en annen, er en rute vanligvis laget av en erfaren navigatør, selv om automatiske ruteplanleggere allerede eksisterer. Årsaken til at mange automatiske ruteplanleggere er ... -
Automatic Blood Glucose Control in Diabetes
(Master thesis, 2009)In this thesis, a closed-loop control algorithm for regulating the blood glucose concentration in type 1 diabetic patients is developed. Two control criteria are imposed on the system, namely: -Avoidance of hypoglycemia. ... -
Automatic Calibration of Ship-mounted Cameras’ Extrinsic Parameters
(Master thesis, 2023)Kalibrering er et sentralt tema innenfor autonome systemer som følge av at antakelsen om kalibrerte sensorer alltid er tilstede når sensordata brukes til å utvikle en modell av verden rundt det autonome systemet. Til tross ... -
Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data
(Journal article; Peer reviewed, 2018)The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ... -
Automatic Detection of Mental Stress Responses from Electroencephalogram Signals
(Master thesis, 2023)Denne avhandlingen presenterer en detaljert studie av effektiviteten og begrensningene av Elektroencefalografi (EEG)-basert psykisk stressdeteksjon hos mennesker ved bruk av en interpersonlig modell. Tre klassifiseringsalgoritmer, ... -
Automatic Detection of Mitral Annular Plane Systolic Excursion from Transesophageal Echocardiography Using Deep Learning
(Master thesis, 2019)Perioperativ monitorering av hjertet til pasienter som gjennomgår operasjoner er nødvendig for å forsikre at hjertets funksjon gjennoprettes. I dag gjennomføres periopertiv monitorering av hjertet manuelt, og baserer seg ... -
Automatic Detection of Poorly Calibrated Models in State Estimation Applied to Oil and Gas Production Systems
(Master thesis, 2015)In modern oil and gas industry, there is an increasing use of instrumentation. This lead to a huge flow of information, which typically is not utilized to its full potential. By the use of increasingly more complex Virtual ...