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 29 for “"Modelling assumptions"”.
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Effect of numerical modelling assumptions on the simulated corneal response during Goldmann applanation tonometry
… corneal properties is the numerical modi elling assumptions used, which seem to be quite different. Different sets of experimental in ation test data were used to calibrate the constitutive models and different limbal boundary conditions were applied to simulate the experimental setup as well as …
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Thermoelectric cooler design
… description of thermoelectric cooler theory, modelling assumptions and complete source code listing is included.
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Patient-specific blood flow modelling in diagnosis of coronary artery disease
… existing patient-specific coronary blood flow modelling approaches are generally characterised by relatively high levels of uncertainty and instability due to a number of unknown factors and modelling assumptions. Analysis and comparison of the impact of various modelling assumptions has the …
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Market Simulations with a Matching Engine
… techniques — Hawkes processes and agent-based modelling. A 10-variate Hawkes model stress tests the software whilst measuring the extent to which a matching engine can cloud the modelling of underlying order submission and management processes in a continuous-double auction. Estimation and …
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Dependent risk modelling in (re)insurance and ruin
… that the classical (re)insurance risk modelling assumptions of independent and identically distributed claim amounts, Poisson claim arrivals and premium income accumulating linearly at a certain rate, starting from possibly non-zero initial capital, are often not realistic and violated …
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Bayesian approaches to time-frequency inverse problems
… down. Hence the adoption of a probabilistic modelling approach capable of handling uncertainty and incorporating prior knowledge becomes essential. This dissertation studies the characterisation of audio signals as time-frequency dictionary representations and its application to audio …
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Exploiting pulsar timing at low radio frequencies: applications to Pulsar Timing Arrays, Interstellar medium and HII regions
… ionised interstellar medium and to refine the modelling of noise processes in Pulsar Timing Array (PTA) analyses. A central element of this thesis is the combination of observations from LOFAR and NenuFAR with higher-frequency data from the European PTA (EPTA). By extending the frequency …
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Evidence-based verification and correction of textual claims
… However, in previous task formulations, modelling assumptions ignore the requirement for systems to retrieve the necessary evidence. To better model how human fact-checkers operate, who first find evidence before labelling a claim's veracity, the methodology proposed in this thesis …
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Econometric modelling in a changing, globalised world
… we refine and apply the econometric methods and modelling assumptions necessary to objectively consider different aspects of globalisation. The first essay analyses the Asia Pacific's possible decoupling from the US. We use Bayesian variable selection methods to model empirically relevant …
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Network Inference Using Independence Criteria
… criterion but becomes exact under many popular modelling assumptions, for example for data from an additive noise model. Third, we compare the performance of the independence criteria on biological experimental data within the framework of the PC algorithm. Since not all criteria are available …
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Mathematical modelling of agglomerate scale phenomena in heap bioleaching
… the process. Over time, the focus of heap leach modelling has moved from models that emphasize particle scale processes to models that emph8size bulk scale processes. In many cases however, the particle scale effects in these bulk scale models are quite simplified. This thesis aims to provide a …
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Stochastic analysis of structures made of composite materials
… tool, the impact of various probabilistic modelling assumptions directly on the β-index value of a rotor blade design was studied.
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"MODEL COMPLEXITY AND VARIABLE SELECTION IN MAXENT NICHE MODELS: ANALYSES FOR RODENTS IN MADAGASCAR"
… to model complexity and violation of modeling assumptions (e.g., representative sampling). Critical in resolving these issues is a better understanding of the effectiveness of model selection techniques. Here, I compare two strategies for optimizing ENMs: an information-criterion approach …
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Numerical Modelling of Steel Fibre Reinforced Concrete Subjected to Fatigue Loading
… explored, particularly from a numerical modelling perspective. This study investigates the monotonic behaviour and fatigue behaviour of pre-cracked SFRC using finite element analysis (FEA) in the commercial software using ABAQUS incorporating Concrete Damage Plasticity (CDP) model. …
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The Reasonable Effectiveness of Mathematics in the Natural Sciences
… rich enough to capture the logic of mathematical modelling. Thus, I characterize a general schema of mathematical analysis of real systems, focusing on the selection of modelling assumptions, on the construction of model equations, and on the extraction of information, in order to address …
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Optimal control and model reduction for wave energy systems: A moment-based approach
… control law for WECs, under different modelling assumptions. Throughout this thesis both model reduction, and optimal control frameworks, are presented for a general class of WEC devices, and their performance is analysed via multiple case studies, considering different devices, under …
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Hypothesis testing and causal inference with heterogeneous medical data
… the effect being studied. In this context, the modelling assumptions of existing statistical tests and causal inference methods are often found inadequate and their practical utility diminished even though these models are increasingly used as decision-support tools in practice. This thesis …
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Statistical Inference and Learning for Stochastic and Partial Differential Equations
… of change, derived from physical laws and modelling assumptions. Practically, however, mechanistic descriptions alone may prove insufficient to accurately model observed data; the model misspecification can be due to over-simplification, inaccurately specified parameters, or missing …
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Hybrid atomistic-continuum formulations and the moving contact line problem
… they allow the solution of problems that require modelling on the microscale without the associated cost of a fully molecular solution. This is achieved by limiting the molecular treatment to the regions where it is needed while using the inexpensive continuum description in the remainder of the …
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Encoding parameter and structural efficiency in deep learning
… processing, reinforcement learning, generative modelling and more recently relational learning from graph-structured data. The main reason for this success is an increase in the availability of computational power, which allows for deep and highly parameterized neural network architectures which …
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