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 53 for “"Local Model"”.
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A local model network approach to nonlinear modelling
… describes practical learning systems able to model unknown nonlinear dynamic processes from their observed input-output behaviour. Local Model Networks use a number of simple, locally accurate models to represent a globally complex process, and provide a powerful,flexible framework for the …
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Group-theoretical applications in a tri-local model for baryons
231 leaves, appendix
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Global Nonlinear Modeling Using Automated Local Model Networks in Real Time
Global nonlinear modeling is a challenging task that spans multiple disciplines. When it is necessary to develop a model across the global input space, and a single linear model is insufficient, nonlinear modeling methods are required. If the model is constrained to be developed autonomously in …
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COMMUNITY EMPOWERMENT IN SOUTH KOREA: TOWARDS DEVELOPING A LOCAL MODEL FOR PRACTICE
… (CEP) in South Korea (SK) and develop a Korean model of CEP. To begin, I describe key contexts of Korean society such as political, economical and cultural backgrounds alongside the history of Korean community work. To achieve the objectives of this thesis, I studied the CEP project for three …
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Wittgenstein and irreducible uncertainty: therapeutic implications for education of a non-local model of mind
This thesis proposes a new model of mind based on the philosophy of Wittgenstein and offers an application of the model to the current educational context. The thesis first analyses the context of the major contending models of mind. Despite widely differing approaches, each model provides a theory …
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Groundwater Modeling of Managed Aquifer Recharge at the Regional and Local Scale
… James River site, scheduled to begin in 2025. A model of the Virginia Coastal Plain region was created in 2009 and has been used to simulate the combined impact of the full-scale SWIFT project. This study estimated the change in hydraulic head in the Potomac Aquifer System caused by the proposed …
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The structural mechanics behavior of sealed insulating glass units
… introduces a series of working and proposed models designed to meet this need. An examination of the need for research and development in the IG unit field is followed by a discussion of "global" and "local" models designed to examine IG unit behavior from a structural mechanics standpoint. …
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Federated learning in drone-based systems
… (a base station), where each drone generates a local model with its data and then shares the local model parameter updates with the server, which aggregates these to generate the global model. Operational and strategic constraints such as communication between drones and base station while the …
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Emulating human process control functions with neural networks
… from many sources into a general process model. This technique allows process models to be formed for systems that are too complex to be modeled with conventional tools. By adding relatively few local measurements, a general process model can be calibrated into a numerically accurate local …
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Automatic facial expression analysis
… present an in-depth analysis of the Constrained Local Model (CLM) for facial expression and head pose tracking. I propose a number of extensions that make location of facial features more accurate. Secondly, I introduce a 3D Constrained Local Model (CLM-Z) which takes full advantage of depth …
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Finite element analysis of composite tubes with integral ends subjected to bending loads
… composite tubes. Elasticity-based linear models were developed using finite element software to predict stresses within the individual plies of the tubes. The tubes under investigation were graphite/epoxy laminated composites with a stacking sequence of [0/-45/+45/90/90/+45/ -45/0] X 2 …
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Adaptive sampling trust-region methods for derivative-based and derivative-free simulation optimization problems
… optimization method where a stochastic local model is constructed, optimized, and updated iteratively. ASTRO is a derivative-based algorithm and provides almost sure convergence to a first-order critical point with good practical performance. In the second study the Monte Carlo …
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On the Dynamics of Noncircular Accretion Discs
… horizontally invariant ``laminar flows'' in a local model of an eccentric disc, which can be used to study the disc's dynamical vertical structure. I also move beyond the purely hydrodynamic models of the preceding chapters and consider the action of magnetic fields in a local model. Finally I …
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Model Robust Regression Based on Generalized Estimating Equations
One form of model robust regression (MRR) predicts mean response as a convex combination of a parametric and a nonparametric prediction. MRR is a semiparametric method by which an incompletely or an incorrectly specified parametric model can be improved through adding an appropriate amount of a …
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The Effect of Social Information on Reliance and Efficacy in AI-assisted Prediction
… tasks, and how t he availability of local model explanations and performance feedback moderates this effect. I find t hat, on average, neither form of social information affects t rust directly, yet they both moderate t he extent to which feedback and model explanations influence …
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Optimal design of geodesically stiffened composite cylindrical shells
… shells are identified. An approach to include local stress concentrations during the design optimization process is then presented. The method is based on a global/local analysis technique. It employs spline interpolation functions to determine displacements and rotations from a global model …
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Regional data refine local abundance models: modeling plant species abundance distributions on the Central Plains
Species distribution models are frequently used to predict species occurrences in novel conditions, yet few studies have examined the effects of extrapolating locally collected data to regional scale landscapes. Using boosted regression trees, I examined the issues of spatial scale and errors …
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Challenges of regional hydrological modelling in the Elbe River basin : investigations about model fidelity on sub-catchment level
… provided. The semi-distributed eco-hydrological model SWIM was utilised for this task. According to scenario simulations driven by the stochastical climate model STAR, the region would get distinctly drier. However, this thesis focuses on the challenge of meeting the requirement of high model …
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Building Transparent Models
… or robustness are indispensable when model predictions are fed into mission critical applications or those dealing with sensitive/controversial topics (e.g., social, legal, financial, medical, or security tasks). While the desired notion of transparency can vary widely across different …
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