Blar i NTNU Open på tittel
Viser treff 62144-62163 av 100943
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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 ... -
The multivariate distributions of output streams in a queueing system with preemptive repeat priority
(Peer reviewed; Journal article, 2021)The paper studies a single server queuing system with r types of customers, preemptive repeat priority and an infinite number of positions in the queue. The arrival stream of customers of each type is a Poisson stream. Each ... -
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 Hermite interpolation of manifold-valued data
(Journal article, 2024)In this paper, we propose two methods for multivariate Hermite interpolation of manifold-valued functions. On the one hand, we approach the problem via computing suitable weighted Riemannian barycenters. To satisfy the ... -
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 ... -
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 Periodic Wavelets on the Pattern
(Master thesis, 2023)I denne masteren analyserer me bilete og oppdagar kantar ved hjelp av fleirdimensjonale periodiske wavelets og fleirskala-analyse, på engelsk multiresolusion analysis. Me presanterer kongruensklassa til det $d$-variate ... -
Multivariate Public Key Cryptography
(Bachelor thesis, 2022)I denne oppgaven, så er målet å introdusere leseren til noen multivariate offentlig kryptografiske systemer. Vi vil gå gennom tre slike systemer. Disse systemene er Matsumoto Imai, Oil and Vinegar, og Rainbow. Vi vil gå ... -
MULTIVARIATE PUBLIC KEY CRYPTOSYSTEMS PRODUCED BY QUASIGROUPS
(Doctoral thesis at NTNU;2015:101, Doctoral thesis, 2015)Multivariate public key cryptography (MPKC) is the study of public key cryptosystems based on the NP-hard problem of solving multivariate quadratic (MQ) systems of equations over finite fields. In the past two decades ... -
Multivariate Quadratic Cryptosystems
(Master thesis, 2019)Vi beskriver egenskapene til multivariate ligningssystemer, og både egenskapene til Grøbnerbaser, og hvordan man beregner dem. Videre beskriver vi to multivariate kvadratiske kryptosystemer, kryptosystemet Matsumoto-Imai ... -
Multivariate Spatial Modeling using SPDEs with Application to Ocean Sampling
(Master thesis, 2022)I denne masteroppgaven vil vi foreslå multivariate romlige modeller for effektiv prediksjon av temperatur og salinitet i havet. Vi baserer modelleringen og analysen på modelløsninger fra en numerisk havmodell, SINMOD, ... -
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 ...