Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 47 for “"data-fitting"”.
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Information Geometry For Nonlinear Least-Squares Data Fitting And Calculation Of The Superconducting Superheating Field
… geometric properties of least squares data fitting, particularly for so-called "sloppy" models. Second we describe a calculation of the superconducting superheating field, relevant for advancing gradients in particle accelerator resonance cavities. Parameter estimation by nonlinear …
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Development of Nabla Fractional Calculus and a New Approach to Data Fitting in Time Dependent Cancer Therapeutic Study
… fractional models of tumor growth for a given data and to estimate parameters of these models in order to have better data tting. We use discrete nabla fractional calculus because we believe the discrete counterpart of this mathematical theory will give us a better and more accurate …
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New PDE models for imaging problems and applications
… form these models combine a regularisation and a data fitting term, balancing one against the other appropriately. Total variation (TV) regularisation is often used due to its edgepreserving and smoothing properties. In this thesis, we focus on the design of TV-based models for several different …
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Principal Component Regression for Construction of Wing Weight Estimation Models
<p>The multivariate data fitting problem occurs frequently in many branches of science and engineering. It is very easy to fit a data set exactly by a mathematical model no matter how the data points are distributed. But building a response by using a limited number of poorly distributed data …
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Numerical simulations in nuclear magnetic resonance : theory and applications
… and easy to use tool for the simulation and data fitting of general NMR experiments. Benchmarked on a series of examples, SPINEVOLUTION was consistently found orders of magnitude faster than another recently developed and widely popular NMR simulation package SIMPSON. The program should be of …
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Mathematical Methods for the Approximation of Radar Traces
… position of aircrafts at specific times. Those data typically requires extensive smoothing and corrections before it can be used for later analysis. Conventional smoothing approaches fail to model the movement physically correct, i.e. do not take standstills of aircrafts into account. In this …
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Supersonic cooling of short-lived molecular states in a pulsed microcavity plasma jet
… cathode located downstream of the jet nozzle. Data fitting to the damped sinusoid function yields a spatially-averaged electron density of 10^8 cm^(-3). The experimental setup has the potential to be used in exploration of the spectroscopy and plasma dynamics in various gas molecules."
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View-dependent precomputed light transport using non-linear Gaussian function approximations
… linear cross-fading artifacts. However, fitting the precomputed light transport data to this new representation requires solving a non-linear regression problem that is more involved than traditional linear and non-linear (truncation) approximation techniques. We present a new data …
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Applications of stochastic inventory control in market-making and robust supply chains
… a predefined family of distributions based on data fitting of historical demand observations, and then optimize the inventory control policy using the estimated distributions. which often leads to fragile solutions in case the preselected family of distributions was inadequate. In this work. we …
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Within Host and Multiscale Models of Usutu and SARS-CoV-2 Viral Infections with Animal Hosts
… is to use mathematical models in connection with data to uncover mechanistic interactions governing viral infections. To acquire a holistic understanding of the impact of viral infections, it is necessary to develop mathematical techniques and models that bridge knowledge on multiple biological …
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The development of micro-sample electrical impedance analysis for freeze-drying process development
… to predict these critical temperatures as most data varies between the equipment and depends on the analyst's judgment and, as a result, a large volume of valuable products (i.e. proteins) are utilised in the process. Many studies showed that electrical impedance-based techniques are sensitive …
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Equating discriminability of subjective contours across the visual field requires two scaling factors
… simulations. The present thesis introduces a data fitting technique that detects the presence of multiple IMFs in a psychophysical task. These are revealed as an interaction between stimulus configuration and eccentricity. These new techniques were used to investigate the percept of subjective …
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Activity and kinematics of low mass stars
… dwarfs from the Sloan digital Sky Survey (SDSS) Data Release 7. This new analysis explores the spatial distribution of these M dwarf properties as a function of vertical distance from the Galactic plane (Z) and distance from the Galactic center (R). We confirm the established trends of decreasing …
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Structural studies of amyloid fibrils using solid-state NMR
… sequence DRAWS with the simulation and data fitting program SPINEVOLUTION to provide a simple and effective way to measure interstrand distances. This method was applied to TTR105.115 fibrils. Several other methods were applied to the TTR fibrils to measure interstrand and intersheet …
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Deployment of a passive acoustic detection system for reactive collision avoidance in autonomous underwater vehicles
… were conducted to collect and process data from static and vehicle-mounted hydrophone arrays, and preliminary measurements were post-processed using various signal smoothing and data-fitting techniques. Results were then compared with a mathematical model used to describe the expected …
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Modelling sea surface temperature using generalized additive models for location scale and shape by boosting with autocorrelation
… earth. Modelling of and prediction from the SST data are challenging due to the fact that gaps in the data lead to incomplete information over time. Generalized additive models by boosting with location scale and shape (gamboostLSS) can be applied to overcome this problem. Moreover, they also …
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Studies in Vapour-Liquid Equilibria
… the determination of vapour-liquid equilibrium data for acetic acid systems, and theoretical work, including the development of data reduction programs, has been carried out. The practical work involved modification of the feed and pressure systems of a modified Cathala still and its subsequent …
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Variability Structure Estimation: The Role of Sample Support
… aim to maximize the relative information in our data sampling efforts. The work presented in this document shows in detail the development of a methodology to estimate the point variogram using different types of regularized data, i.e., single-support variograms and mixed-support variograms. The …
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Variability structure estimation: The role of sample support
… aim to maximize the relative information in our data sampling efforts. The work presented in this document shows in detail the development of a methodology to estimate the point variogram using different types of regularized data, i.e., single-support variograms and mixed-support variograms. The …
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Novel higher order regularisation methods for image reconstruction
… total generalised variation problem with L^{2} data fitting term, for simple piecewise affine data functions, with or without jumps . This gives an insight on how this type of regularisation behaves and unravels the role of the TGV parameters. Finally, we introduce, study and analyse a novel …
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