Now showing items 44695-44714 of 72886

• Multispectral imaging: narrow or wide band filters? ﻿

(Journal article; Peer reviewed, 2014)
In every aspect, spectral characteristics of filters play an important role in an image acquisition system. For a colorimetric system, traditionally, it is believed that narrow-band filters give rise to higher accuracy ...
• Multistage grid investments incorporating uncertainty in offshore wind development ﻿

(Journal article; Peer reviewed, 2017)
Representation of uncertainty in transmission expansion planning (TEP) models has become increasingly important as many power systems are exposed to significant technological changes induced by top-down climate and energy ...
• Multistep Parametric Inversion of Scanning Magnetic Microscopy Data for Modeling Magnetization of Multidomain Magnetite ﻿

(Peer reviewed; Journal article, 2019)
Development in instrumentation and technology now allows for mapping of magnetic anomalies, caused by spatial variations in magnetization in the source material, from the mineral to the crustal anomalies scale. High-resolution ...
• Multitarget Multisensor Trackingin the Presence of Wakes ﻿

(Doktoravhandlinger ved NTNU, 1503-8181; 2010:97, Doctoral thesis, 2010)
TARGET&nbsp;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 ...
• Multiterminal HVDC for Offshore Windfarms – Control Strategy ﻿

(Conference object; Peer reviewed, 2009)
• Multivariabel Analyse av Havstrømmer i Barentshavet ﻿

(Master thesis, 2019)
Analyser for parameterreduksjon og prediksjon er utført på et hindcast datasett fra et bestemt område i Barentshavet. Tre analysemetoder, PCA, PLSR og GPR utføres på et utvalg scenarioer og datamengder. Principal Component ...
• Multivariable process control in high temperature and high pressure environment using non-intrusive multi sensor data fusion ﻿

(Doktoravhandlinger ved NTNU, 1503-8181; 2006:38, Doctoral thesis, 2006)
The main objective of this thesis is to use available knowledge about a process and combine this with measurement data from the same process to extract more information about the process. The combination of knowledge and ...
• 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 of heat transfer and pressure drop in finned tube bundles ﻿

(Master thesis, 2013)
The exhaust gas from gas turbines contains a large amount of heat that can be utilized for process purposes or for further power generation. The heat recovery units on offshore platforms are required to be as compact and ...
• 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 curve resolution applied to in situ X-ray absorption spectroscopy data: An efficient tool for data processing and analysis ﻿

(Journal article; Peer reviewed, 2014)
Large datasets containing many spectra commonly associated with in situ or operando experiments call for new data treatment strategies as conventional scan by scan data analysis methods have become a time-consuming bottleneck. ...
• Multivariate Data Analysis in Conceptual Vessel Design - A Study of Offshore Construction Vessels ﻿

(Master thesis, 2017)
This thesis investigates how the use of a design methodology based on multivariate data analysis can create a reliable and robust source of knowledge to reduce complexity, and support and complement the decision-making ...
• 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 DCC-GARCH Model: -With Various Error Distributions ﻿

(Master thesis, 2009)
In this thesis we have studied the DCC-GARCH model with Gaussian, Student's $t$ and skew Student's t-distributed errors. For a basic understanding of the GARCH model, the univariate GARCH and multivariate GARCH models in ...
• Multivariate Distributions Through Pair-Copula Construction: Theory and Applications ﻿

(Master thesis, 2009)
It is often very difficult, particularly in higher dimensions, to find a good multivariate model that describes both marginal behavior and dependence structure of data efficiently. The copula approach to multivariate models ...
• Multivariate Gaussian Random Fields: The Stochastic Partial Differential Equation approach ﻿

(Doctoral Theses at NTNU, 1503-8181; 2013:206, Doctoral thesis, 2013)
• 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 Image Regression (MIR) for Quantitative Predictions. Prototype Software Implementation and Selected Industrial-Technological Pilot Studies ﻿

(Dr. ingeniøravhandling, 0809-103X; 2000:99, Doctoral thesis, 2001)
In large and important sectors of modern production, there is an increased demand for on-line or at-line information. Both consumers and governmental regulations require that producers can document the quality of their ...
• Multivariate log-concave probability density class for structural reliability applications ﻿

(Journal article; Peer reviewed, 2017)
Structural reliability analysis is conventionally based on a description of uncertainty via a joint probability density function (JPDF). This paper builds on an alternative concept of working with a probability distribution ...
• 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 ...