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Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions
(Peer reviewed; Journal article, 2024)With the recent wave of digitalization, specifically in the context of safety–critical applications, there has been a growing need for computationally efficient, accurate, generalizable, and trustworthy models. Physics-based ... -
Enhancing Model Predictive Control for Non-Continuous Actuators in the Oil and Gas Industry: A Mixed Integer MPC Approach
(Master thesis, 2023)Effektive kontrollsystemer er avgjørende for å oppnå høy produktivitet og økte inntekter innen olje- og gassindustrien. Modellbasert prediktiv kontroll (Model Predictive Control, MPC) har blitt en mye brukt teknikk for ... -
Enhancing Sleep-Wake Detection Using Deep Learning and Optimal Channel Selection from High-Density EEG
(Master thesis, 2023)Denne masteroppgaven utforsker den utfordrende men viktige oppgaven med å klassifisere våkenhet fra søvn ved bruk av elektroencefalografi (EEG) data, som er viktig i både kliniske og hjemmemiljøer. Ettersom søvnforstyrrelser ... -
Enhancing Teaching Methods on Embedded Systems with Project-Based Learning
(Chapter, 2018)Automation engineering departments must continuously develop their laboratories and pedagogical tools to provide their students with effective study plans. While acquiring state-of-the-art equipment can be financially ... -
Enhancing the robustness of meal onset detection by sensor fusion
(Master thesis, 2020)Abstract will be available on 2023-06-01 -
Enhetlig visjonsbasert autonom navigasjon for roboter
(Master thesis, 2015)Motivasjonen til denne avhandlinga er å undersøke bruken av eit kamera som sensor for autonome bakkerobotar. Noverande autonome system nyttar som regel optisk fjernmålingsteknikkar som lidar, i tillegg til GPS-posisjonering. ... -
Ensemble Kalman Filtering for State and Parameter Estimation on a Reservoir Model
(Master thesis, 2007)In reservoir management it is important with reservoir models that have good predictive abilities. Since the models initially are based on measurements with high uncertainties it is important to utilize new available data. ... -
An ensemble modelling approach for spatiotemporally explicit estimation of fish distributions using data assimilation
(Journal article; Peer reviewed, 2023)This article presents a novel method for estimating large scale spatiotemporal distribution patterns of fish populations modelled at the individual level. A single realization of an individual-based model calibrated on ... -
An environmental disturbance observer framework for autonomous surface vessels
(Peer reviewed; Journal article, 2023)This paper proposes a robust disturbance observer framework for maritime autonomous surface vessels considering model and measurement uncertainties. The core contribution lies in a nonlinear disturbance observer, reconstructing ... -
EPP-basert protesemodell
(Master thesis, 2011)Oppgaven er en fortsettelse av tidligere arbeid med å utvikle en EPPbasertprotsese med to frihetsgrader til en ung dysmelipasient som hartransversell armdysmeli med en rudimenter nger. Denne ngeren skalbrukes til å styre ... -
Error Detection and Correction for Low-Cost Nano Satellites
(Master thesis, 2013)The objective of this paper is to suggest low-cost measures for dependability and robust Error Detection and Correction for use in applications such as nano satellites, where price is a primary concern. Different methods ... -
Error Detection and Correction for Low-Cost Nano Satellites
(Master thesis, 2013)The objective of this paper is to suggest low-cost measures for dependability and robust Error Detection and Correction for use in applications such as nano satellites, where price is a primary concern. Different methods ... -
Estimating Glucose Appearance Rate in Blood After Meal Digestion using Sequential Machine Learning
(Master thesis, 2022)Diabetes mellitus er en sykdom der kroppens evne til å regulere glukosenivået blir hemmet av manglende insulinproduksjon i bukspyttkjertelen. Det finnes per dags dato ingen kur for denne sykdommen, men flere utforsker ... -
Estimating vector magnitude from its direction and derivative, with application to bearing-only SLAM filter problem
(Journal article; Peer reviewed, 2019)For some problems, such as monocular visual odometry (VO), vector measurements are given with unknown magnitude. In VO, the magnitude can be found by recognizing features with known position, or with an extra sensor such ... -
Estimation and Prediction of Glucose Appearance Rate for Use in a Fully Closed-Loop Dual-Hormone Intraperitoneal Artificial Pancreas
(Peer reviewed; Journal article, 2023)Objective: A fully automated artificial pancreas requires a meal estimator and predictions of blood glucose levels (BGL) to handle disturbances during meal times, all without relying on manual meal announcements and user ... -
Estimation in Large Mechanistic Models
(Master thesis, 2011)The main objective in this thesis is to model an offshore processing plant, and adapt it to a given dataset by off-line parameter estimation and then perform an on-line state and parameter estimation. The aim is to use the ... -
Estimation in nonlinear constrained systems with severe disturbances
(Doktoravhandlinger ved NTNU, 1503-8181; 2008:261, Doctoral thesis, 2008)Aluminium is a metal playing an important role in all modern life of today, and it will continue to play an important role in many years to come. As with every business and everyone who participates in the global economy, ... -
Estimation in uncertain switched systems using a bank of interval observers: local vs glocal approach
(Peer reviewed; Journal article, 2021)This paper discusses some issues related with the design of a bank of interval observers for uncertain switched systems, in which several sources of uncertainty are considered: parametric uncertainties, unknown disturbances, ... -
Estimation of Angle of Attack and Sideslip Angle applied in an Airborne Wind Energy System
(Master thesis, 2019)Hovedbidraget i denne oppgaven er implementasjon og anvendelse av en metode for estimering av angrepsvinkler for ubemannede luftfartøy - anvendt på teknologi for utnyttelse av høydevindkraft. Den implementerte metoden er ... -
Estimation of Bottomhole Pressure for Managed Pressure Drilling: Comparison of Nonlinear Estimators
(Master thesis, 2011)To avoid hole stability problems in an increasingly fierce drilling environment, the demand for accurate control of the pressure profile during drilling operations is rising. As standard instrumentation of drilling rigs ...