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 21 for “"Structural Uncertainty"”.
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Infection processes on networks with structural uncertainty
… potential disease-transmitting interaction; this uncertainty in the network structure is often ignored in deterministic models. Neglecting this uncertainty can lead to an underestimate of R0, an unacceptable outcome for public health planning. Is it possible to make guarantees and approximations …
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Quantification of Molecular Structural Uncertainty Through Automated Computational Analysis of NMR Spectra
… put use. In this work new ways of estimating the uncertainty in molecular structures through automated computational analysis of NMR data have been pioneered. This work is divided into five sections. The first section describes the development of DP4-AI, a program which automatically processes and …
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Intra-industry information transfers: Evidence from earnings announcements
… appears to be most consistent with rational structural uncertainty [Brav and Heaton (2002)] one cannot rule out the possibility of behavioral biases.
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An Analysis of Hydrological Model Uncertainty at the Local Stage of a Climate Change Impact Assessment in the Suir Catchment
This thesis presents an analysis of uncertainty at the local stage of a climate impact assessment. Impact model structural uncertainty and uncertainty due to equifinality of parameter sets are evaluated, in addition to uncertainty due to GCMs and emissions scenarios. The Suir catchment is employed …
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Computational Modeling And Simulation Of Thrombus Formation
… basis for target selection despite model uncertainty. Chapter 3 focuses on the impact of parametric sampling strategies of Monte-Carlo sensitivity analysis and network structural uncertainty upon the assessment of the qualitative importance of molecular interactions in the coagulation …
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Assessing levels of reliability for design criteria for hurricane and storm damage risk reduction structures
… review of geotechnical, hydraulic, and structural uncertainty data. This methodology utilizes commercial software and routine design methods for the development of inputs into an overarching framework that includes point estimate simulation models and event tree methods to quantify the …
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Internal and structural variability in global urban climate projections in CMIP6
… A robust modeling framework to address uncertainty in local- or regional-scale climate change should include the roles of internal variability, model parametric and structural uncertainty, and scenario uncertainty. Quantitative attributions of the structure of these uncertainties have …
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Data, models and decisions for large-scale stochastic optimization problems
… systems, the design of product lines under uncertainty, the selection of an assortment from historical transaction data and the design of a personalized assortment policy from data. In the first chapter, we propose a new solution method for a general class of Markov decision processes (MDPs) …
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Model uncertainty and performance analysis for precision controlled space structures
… our goal is to predict the amount of uncertainty in the performance prediction made through out the design process. Also, given a statistical database for structural uncertainty, the methodology presented will establish the probability of success of a particular architecture. The …
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A fully Bayesian approach to uncertainty quantification of groundwater models
… are unknown or estimated. Furthermore, model structural error is ubiquitous, due to simplification and/or misrepresentation of the real system. The presence of errors in input data and model structure raises questions regarding the suitability of conventional least squares regression-based …
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Parametric and structural uncertainties in modeling dry deposition of atmospheric aerosol particles
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Idealized particle-resolved large-eddy simulations to evaluate the impact of emissions spatial heterogeneity on CCN activity
… interactions remain a large source of uncertainty in climate models due to complex, nonlinear processes that alter aerosol properties and the inability to represent the full compositional complexity of aerosol populations within large-scale modeling frameworks. The spatial resolution of …
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Constraining the representation of aerosols in GCMs: explainable AI and Lagrangian approaches to identify key drivers of the natural aerosol lifecycle.
Aerosols remain one of the largest sources of uncertainty in climate modelling, with the representation of the natural baseline significantly hampering constraint on aerosol induced radiative forcing. This thesis begins with an introduction to aerosols and their role in the climate system, as well …
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Constraining the representation of aerosols in GCMs: explainable AI and Lagrangian approaches to identify key drivers of the natural aerosol lifecycle.
Aerosols remain one of the largest sources of uncertainty in climate modelling, with the representation of the natural baseline significantly hampering constraint on aerosol induced radiative forcing. This thesis begins with an introduction to aerosols and their role in the climate system, as well …
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Uncertainty in atmospheric CO₂ concentrations from a parametric uncertainty analysis of a global ocean carbon cycle model
… elsewhere is principally the product of the structural uncertainty implied by an amalgamation of the results of several ocean carbon sink models of varying degrees of complexity. This range does not take into account the parametric uncertainty in these models and does not address how this …
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Topics in Automotive Rollover Prevention: Robust and Adaptive Switching Strategies for Estimation and Control
… design robust controllers that take into account uncertainty in the CG position. As the next step we refine the controllers by integrating them with the multiple model switched CG position estimation algorithm. This results in adaptive controllers with higher performance than the robust …
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Hetero-functional Graph Theory for Convergent Systems of Systems: Model-Based Applications in Watershed and Economic Systems
… networks under data sparsity and structural uncertainty. The paper then simulates the Chesapeake Bay Watershed using spatially and temporally resolved data from the Chesapeake Assessment Scenario Tool (CAST). This chapter demonstrates the scalability of the MBSE–HFGT framework and …
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Energy and information transfer via coherent exciton wave packets
… transport, and promise because of reduced structural uncertainty. A laser design was derived to create exciton wave packets with tunable shape and speed. Quantum interference was then exploited to manipulate these packets to block, pass, and even dissociate excitons based on their energies. …
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Towards a holistic integration of energy justice and energy system engineering
… tradeoffs and articulate their values, though structural barriers to energy modeling adoption at the municipal level persist.
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Probabilistic and Statistical Learning Models for Error Modeling and Uncertainty Quantification
… nature can be attributed to different sources of uncertainty including the parameters of the model, input data, or some missing physics that is not included in the model due to a lack of knowledge or high computational costs. Uncertainty reduction approaches seek to improve the model accuracy by …
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