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.
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Showing 1 to 18 of 18 for “"Parametric modelling"”.
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Non-parametric modelling of signals on graphs
… and edges, making them popular candidates for modelling a wide variety of real-world objects, ranging from molecules to social or biological networks. As a result of their suitability for various modelling scenarios, machine learning on graph-shaped data has emerged as an important field of …
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A parametric modelling tool for high speed displacement monohulls
… achieve rapid geometry generation through fully parametric modeling. Fully parametric hull modeling is the practice of creating the entire hull shape definition only from form parameters, without the need for offset data or predefined lines plan. In this thesis a fully parametric modeling tool, …
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Three essays in semi-parametric modelling of time-varying distribution
… and monetary economics emphasise that risk modelling of asset values and inflations are key inputs to financial theory and monetary policy. The risk is completely described by the distribution which is verified to be time-varying and non-normal. Although various parametric and non-parametric …
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Experimental and Analytical Characterization of a Transducer for Energy Harvesting Through Electromagnetic Induction
… Also presented are methods of state space and parametric modelling eforts. In addition, this thesis presents equivalent electrical circuit models with a focus on switched pulse-width-modulated topologies that seek to maximize harvested energy.
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Exploring Biotic Approaches in Performance Based Design
… logic and value engineering and test it with parametric modelling. The design subject is a proposed low-income housing project enhanced with biophilic application to provide comfort at low cost.
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Strategies to integrate design and fabrication through discretisation.
… case study analysis, and prototyping using parametric modelling environments, this study demonstrates the practical and theoretical implications of digital discretisation in redefining the role of architects—from designers to orchestrators of data and algorithms. The findings identify and …
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Bayesian analysis for mixtures of discrete distributions with a non-parametric component
Bayesian finite mixture modelling is a flexible parametric modelling approach for classification and density fitting. Many application areas require distinguishing a signal from a noise component. In practice, it is often difficult to justify a specific distribution for the signal component, …
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Interfashionality: Body-oriented Parametric Design and Parametric Thinking 2.0 for 3D-printed Textiles and Fashion
… research investigates body-oriented parametric design. It proposes the adaptation of ‘parametric thinking’ (parametric thinking 2.0) to offer new understandings of 3D printing (3DP) for fashion and textile innovations. The adjective parametric is a term used in this research to: 1) …
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Machine Learning for Human Design: Developing Next Generation Sketch-Based Tools
… realm of engineering and architecture, such as parametric modelling and optimization, are becoming increasingly powerful, allowing for systematic and rigorous design processes. However, these methods often bring a steep learning curve, require previous expertise, or are unintuitive and unnatural …
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Longitudinal analysis for binary and count data
… subject may not be well understood, making such parametric modelling difficult. This thesis discusses two methods for the analysis of longitudinal data which require only minimal assumptions about the true correlation structure in the data for each subject to yield consistent estimates of …
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Statistical methodology motivated by problems in genetics
… of a number of sub-populations, or as a semi-parametric modelling tool. The label switching problem can prevent meaningful interpretation of the output of Markov Chain Monte Carlo samplers. Specifically, inference on attributes specific to sub-populations can be difficult. Such attributes play …
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A Study of Actuarial Models for Insurance Based Applications
… of the thesis is to demonstrate a wide array of modelling techniques and their practical implementation in these two key areas of actuarial science. The first part considers the modelling of the labour force dynamics from the perspective of the loss of earnings multipliers in England and Wales. …
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Bayesian single- and multi- objective optimisation with nonparametric priors
… We adopt a probabilistic framework for modelling the unknown function and Bayesian non-parametric modelling. In particular, we focus on the $\textit{Gaussian process}$ (GP), a popular non-parametric Bayesian prior on functions. We motivate these choices and give an overview of the …
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Discovery and Characterisation of Gravitationally Lensed Quasars in Wide-field Surveys
… looking for nearby variable pairs. We create a parametric modelling pipeline of the DES images to extract lightcurves of system components, and show that it is a highly effective way to remove quasar and star projections before spectroscopic follow-up. We demonstrate that future searches based …
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BIM-based knowledge management for the use of construction and facilities management knowledge in construction projects
… technology (IT) tools, building information modelling (BIM) provides an integrated platform that allows multiple disciplinary teams to manage project-related data collaboratively. In addition, BIM can be seen as a process throughout the project life cycle, in which the project lifecycle data …
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Finite element model of a tennis ball impact with a racket
… individual stages of the validation.</p> <p>A parametric modelling program was produced to be used in conjunction with the model. This program enables the user to adjust a variety of parameters, such as the inbound velocity of the ball, impact location and mass of the racket, and run …
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Parametric Yield and Tolerance Optimisation of Electromagnetic Devices using Feature-based Non-Linear Partial Least Squares Polynomial Chaos Expansion Surrogates
Parametric modelling and global optimization techniques are critical in design of microwave components. This dissertation presents research work on efficient yield and tolerance optimisation of microwave components. In the first part of this thesis, we propose a rapid yield and sensitivity analysis …
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3DCITYGH: un Approccio Parametrico Speditivo per il Rilievo Urbano Digitale e il City Information Modeling di Modelli Strutturali di isolati urbani.
… definizione di una metodologia di modellazione parametrica che consenta, in tempi brevi e con costi sostenibili, l'acquisizione digitale, la modellazione e l'analisi di aggregati urbani con l'obiettivo di facilitare le azioni di mappatura della vulnerabilità sismica nei centri storici. La …