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Multi-task learning for virtual flow metering
(Peer reviewed; Journal article, 2021)Virtual flow metering (VFM) is a cost-effective and non-intrusive technology for inferring multiphase flow rates in petroleum assets. Inferences about flow rates are fundamental to decision support systems that operators ... -
Multiaspect power optimization based on induced flow considerations
(Master thesis, 2020)Populariteten av droner har økt voldsomt de siste årene. I motsetning til helikoptre, har droner mange tettsittende rotorer. Disse rotorene påvirker hverandre aerodynamisk, noe som fører til endringer i det induserte tapet. ... -
Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models
(Journal article; Peer reviewed, 2021) -
Multibody Flow Networks
(Master thesis, 2022)Produksjonsplanlegging av vannkraft er understøtta av forskjellige beregninger. Mange av beregningsmodellene legger til grunn en modell av et vassdrag. Modellene som brukes av tunnellsystem er ofte lagd med en ... -
Multicopter Attitude Estimation with North-Seeking Capabilities
(Master thesis, 2018)This thesis deals with attitude measurement by fusing sensor information from accelerometers, gyros and position aiding in the form of a pseudorange measurement system, on a multicopter system. This is motivated by multicopter ... -
Multicopter Route Planning and Collision-Avoidance Systems
(Master thesis, 2020) -
Multifidelity computing for coupling full and reduced order models
(Peer reviewed; Journal article, 2021)Hybrid physics-machine learning models are increasingly being used in simulations of transport processes. Many complex multiphysics systems relevant to scientific and engineering applications include multiple spatiotemporal ... -
Multimodal Multispectral Imaging System for Small UAVs
(Peer reviewed; Journal article, 2020)Multispectral imaging is an attractive sensing modality for small unmanned aerial vehicles (UAVs) in numerous applications. The most compact spectral camera architecture is based on spectral filters in the focal plane. ... -
Multiple Model Predictive Control for nonlinear systems based on Self-balanced Multi-model Decomposition
(Peer reviewed; Journal article, 2021)A gap-based measurement of nonlinearity (GMoN) is proposed to set up a criterion for multimodel decomposition (MMD) of nonlinear systems. Then, a self-balanced multimodel decomposition (SBMMD) approach based on GMoN is put ... -
Multirotor pickup of object in the sea
(Master thesis, 2019)Dette prosjektet sikter på å lande en multirotor (UAV) på et lite objekt som flyter i sjøen. Objektet detekteres ved hjelp av et kamera, mens UAV’ens høyde over vannet måles med radar. Ved å triangulere høydeestimatet og ... -
Multiscale modelling of cage effects on the transport of effluents from open aquaculture systems
(Peer reviewed; Journal article, 2020)Most Atlantic salmon mariculture operations use open sea cages for the grow out phase. The ultimate fate and effects of the effluents and the possibilities of disease transfer between fish farms are major concerns for ... -
Multitarget Multisensor Trackingin the Presence of Wakes
(Doktoravhandlinger ved NTNU, 1503-8181; 2010:97, Doctoral thesis, 2010)TARGET tracking is an essential requirement for surveillance and control systems to interpret the environment. This environment may contain multiple targets, and the environmental information may be obtained by multiple ... -
Multitarget Tracking with Multiple Models and Visibility: Derivation and Verification on Maritime Radar Data
(Peer reviewed; Journal article, 2021)In this article, we demonstrate how a variation of the joint integrated probabilistic data association with interacting multiple models and a visibility state can be derived as a special case of the Poisson multi-Bernoulli ... -
Multivariable Super-Twisting Control of Fixed-Wing UAVs
(Master thesis, 2021)I denne oppgaven blir robustheten til flere sliding mode kontroll (SMC)-algoritmer undersøkt ved å implementere dem for en usikker simuleringsmodell av et lite ubemannet fly som opererer i et miljø hvor den er påvirket av ... -
Multivariate Analysis on Preprocessed Time-Frequency Representations of Electrode Voltage Signals from Microelectrode Array Experiments on an in-vitro Dopaminergic Neuronal Culture
(Master thesis, 2018)The Master's thesis presents custom developed Fourier based preprocessing methods as well as results from principal component analysis (PCA) and partial least squares projection to latent structures (PLS) regression on ... -
Multivariate data modelling for de-shadowing of airborne hyperspectral imaging
(Journal article; Peer reviewed, 2017-02)Airborne hyperspectral imaging is a powerful technique for high-resolution classification of large areas of ground, applied today in fields like agriculture and environmental monitoring. Even though many classification ... -
Multivariate Image Fusion: A Pipeline For Hyperspectral Data Enhancement
(Journal article, 2020)Hyperspectral cameras provide high spectral resolution data, but their usual low spatial resolution when compared to color (RGB) instruments is still a limitation for more detailed studies. This article presents a simple ... -
Multivariate Modeling and Adaptive Control of Autonomous Ferries
(Master thesis, 2021)Nøyaktig og energieffektiv bevegelsesstyring er viktig for sikker og økonomisk drift av marinefartøyer. Denne masteravhandlingen presenterer design og evaluering av en ny multivariat-basert adaptiv kontroller for marine ... -
Multivariate Modeling and Adaptive Control of Autonomous Ferries
(Peer reviewed; Journal article, 2021)This paper deals with the design and evaluation of a multivariate-based adaptive controller for marine surface vessels. The goal is to make a system that periodically updates the vessel model, used by a dynamic positioning ... -
Multivariate Statistical Condition Monitoring
(Master thesis, 2017)Multivariate analysis methods have been studied for the purpose of improving condition monitoring of equipment in industry. This concerns fault detection, isolation and diagnosis for machinery in order to improve decision ...