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 2809 for “"uncertainties"”.
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Uncertainties in climate data analysis
… paleoclimate data. An additional focus are the uncertainties in assessing the coupling between different factors that influence the global mean temperature (GMT). Paleoclimate studies critically rely on `proxy variables' that record climatic signals in natural archives. However, such proxy …
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Uncertainties in gender violence epidemiology
… The accompanying commentary addresses three uncertainties that affect gender violence epidemiology. These are missing data, clustering and unrecognised causal relationships. In this thesis I ask: Can we reduce these three uncertainties in gender violence epidemiology? A systematic review of …
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Technological uncertainties and popular culture
This thesis is an inquiry into possibilities and problems of a sociology of translation. Beginning with a recognition that actor network theory represents a sociological account of social life premised upon on recognition of multiple ontologies, interruptions and translations, the thesis proceeds …
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Landslide hazards assessment and uncertainties
Landslides are natural phenomena which are difficult to predict because their initiation depends on many factors and on the interaction between these factors. The annual number of causalities caused by landslides is in the thousands, and infrastructural damage is in the billions of dollars. To …
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Modelling geometric uncertainties in prostate radiotherapy
Image guided radiotherapy (IGRT) presents a range of techniques to enhance thegeometric accuracy of radiotherapy treatment. A full evaluation of such techniques,against increased cost, workload, or unnecessary radiation dose, would require theincorporation of geometric errors into existing methods …
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Interconnect capacitance extraction under geometric uncertainties
… capacitance in the presence of geometric uncertainties. More specifically, a methodology is proposed for the finite element solution of Laplace's equation for the calculation of the per-unit-length capacitance matrix of a multi-conductor interconnect structure embedded in a multi-layered …
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Dealing with uncertainties in platform services
… The novelty of these services is generating uncertainties for both providers and customers. As these uncertainties and their consequences are not well understood in the existing literature, our research focused on articulating the nature of these uncertainties and explicating how they are …
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Quantification and propagation of nuclear data uncertainties
… of the prompt fission neutron spectrum (PFNS) uncertainties and its impact on critical reactor assemblies. First, the first-order, linear Kalman filter is used as a nuclear data evaluation and uncertainty quantification tool combining available PFNS experimental data and a modified version of …
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On intrinsic uncertainties in earth system modelling
Uncertainties are pervasive in the Earth System modelling. This is not just due to a lack of knowledge about physical processes but has its seeds in intrinsic, i.e. inevitable and irreducible, uncertainties concerning the process of modelling as well. Therefore, it is indispensable to quantify …
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Model Uncertainties and Joint Inversion in Geophysics
… models tends to underestimate the underlying uncertainties of the parameters. However, the so-called Bayesian Approximation Error (BAE) approach has shown that feasible likelihood models are typically non-trivial. In this thesis, we use the BAE approach to construct feasible likelihood models …
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Constraining climate impact uncertainties from future aviation
… occur. My parameterization also reduces current uncertainties related to uncertainties in contrail microphysical structure. I find that, assuming maximum possible overlap, cloud-contrail overlap in 2015 increased the net radiative forcing from contrails. This effect was greatest in the …
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FAITHFUL ESTIMATION OF UNCERTAINTIES IN MODERN PDF EXTRACTIONS
… the precise determination and validation of the uncertainties associated with parton distribution func- tions (PDFs). We introduce and implement the theory covariance method within the NNPDF4.0 framework, enabling the incorporation of theoretical uncertainties into the PDF determination process. …
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Impact of Uncertainties on Structures Damage Tolerance Parameters
… (DTA), assume deterministic factors, considering uncertainties inherent in material properties, inspections, and operational conditions only at the final stage by applying safety factors. This research seeks to incorporate these uncertainties throughout the analysis by integrating Monte Carlo …
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European droughts under climate change: projections and uncertainties
… of uncertainty. The implications of the large uncertainties include that decision-making should be based on multi-scenario and multi-model results, and with consideration of drought definition.
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Essays on macroeconomic and financial risks and uncertainties
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Random survival forests: quantifying uncertainties and other extensions
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms
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Control of large-scale structures with large uncertainties
… active damping systems, such as large modeling uncertainties that are inherent to large-scale structures, limited state measurements, lack of mechanically reliable control devices, large power requirements, and the need for robust controllers. In order to enhance acceptability of feedback …
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Optimal control in the presence of measurement uncertainties
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Aeronautical Engineering, 1967.
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Quantification of structural uncertainties in RANS turbulence models
… building a statistical model for the structural uncertainties in Reynolds averaged Navier-Stokes (RANS) turbulence models. This approach solves an inference problem by comparing the results of RANS calculations to direct numerical simulation. The adjoint method is used to efficiently solve an …
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Fast stochastic model predictive control under parametric uncertainties
… state space models, resulting in fast MPC Model uncertainties are ubiquitous and there are two popular approaches to incorporate them in the MPC framework In robust MPC, the worst case of the uncertainty is optimized, which can result in sluggish performance, because this case often has a very …
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