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 20 of 43 for “"Parameter Spaces"”.
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Working in high-dimensional parameter spaces: Applications of machine learning in particle physics phenomenology
Contains fulltext : 238578.pdf (Publisher’s version ) (Open Access)
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Economic Design of CUSUM Control Charts
… to minimize LRHC for a CUSUM chart using nine parameters confined to their respective feasible parameter spaces as defined by the chart designer. Savings over similarly designed two stage Xbar charts are discovered and presented.
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Machine Learning-Augmented Spectroscopies for Intelligent Materials Design
… ever larger data volumes in higher-dimensional parameter spaces, the design, analysis, and interpretation of such experiments becomes both increasingly valuable and complex. At the same time, interest in novel functional and quantum materials for next-generation technologies, including …
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Harmonic maps of trivalent trees
… these nodes are a function of the lengths of the parameter spaces of the paths which comprise the map. It is shown that this node function can be continuously extended to certain parts of the boundary of its domain; these parts of the boundary are closely related to the geometry of the trivalent …
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Digital Twin Modeling for NV Magnetometry
… system, enabling comprehensive exploration of parameter spaces to optimize device design. Leveraging machine learning techniques, this study optimizes control mechanisms, including the design of learned analog filters, to enhance system performance. This research investigates the fundamental …
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Toric mirror symmetry and GIT windows
… space of the torus. After identifying the ""FI parameter space"" of the B-model GLSM with the GKZ complex parameter space of the skeletal LG A-model, homological mirror symmetry in the quasi-symmetric case becomes two geometric incarnations of the Špenko-Van den Bergh schober over C^k stratified …
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A learning method for the approximation of discontinuous functions for stochastic simulations
… outputs that depend discontinuously on input parameters. Our approach focuses on piecewise smooth outputs and involves two stages: first, efficient detection and localization of discontinuities in high-dimensional parameter spaces using polynomial annihilation, support vector machine …
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Observation of mechanical bound states in the continuum
… foundations of quantum mechanics in unreached parameter spaces.
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Neural prosthetics for paralysis : algorithms and low-power analog architectures for decoding neural signals
… stimuli, learn to encode the structure of new parameter spaces, and ultimately retrace trajectories through such spaces in the absence of the original stimuli.
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Applications of Galactic Microlensing
… to efficiently explore large and intricate parameter spaces in the quest for the global best solution, a modeling software (Tango) for binary lenses is developed, presented and applied to data sets from the PLANET microlensing campaign. For the event OGLE-2002-BLG-069 the 2nd ever lens mass …
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Relativistic and non-relativistic holography
… studied for various values of q, p and other parameters of the system. In terms of discrete symmetry, introducing torsion by adding the Nieh-Yan term (with space-time dependent coefficient) into 3+1 Einstein-Hilbert gravity is postulated to correspond to parity symmetry breaking in the …
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Linkage Based Dirichlet Processes
… Chain Monte Carlo (MCMC) algorithms for large parameter spaces. Dirichlet Process Mixture Models (DPMMs) have become a Bayesian mainstay for modeling heterogeneous structures, namely clusters, especially when the quantity of clusters is not known with the established MCMC methods. As opposed to …
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Relativistic and Non-Relativistic Holography
… studied for various values of q, p and other parameters of the system. In terms of discrete symmetry, introducing torsion by adding the Nieh-Yan term (with space-time dependent coefficient) into 3+1 Einstein-Hilbert gravity is postulated to correspond to parity symmetry breaking in the …
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Parametric PAINTOVER: Generating Design Models via Image Encoders and Latent Trajectories
… where hand crafted functions map input parameters to a design space to rapidly generate samples. Direct modifications often lead to novel states outside the design space of a parametric model. Moreover, Parametric models are not cyclic, their input and output spaces are not …
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Modeling and theoretical design methods for directed self-assembly of thin film block copolymer systems
… saving time in performing experiments over wide parameter spaces as well as elucidating information that may not be available by current experimental techniques. Both forward simulation approaches are studied where parameters are varied over a wide range with phase diagrams of potential …
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A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion
… for smaller models with a handful of uncertain parameters, this task is computationally intractable using contemporary algorithms for complex systems characterized by large-scale simulations and high-dimensional parameter spaces. In this dissertation, I address issues regarding the theoretical …
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Analysis of performance and robustness of biological switches: local tools for non-local dynamical phenomena.
… decision-making process in both the state and parameter spaces and propose a local analysis in the vicinity of these particular points. Our third contribution is to emphasize the added value of an abstract (that is, mathematical) framework for the analysis of biological switches. By studying …
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Dark Matter Production after Inflation and Constraints
… a model-independent approach, we explore the parameter space for dark matter with a mass of order MeV and above showing that only small regions of the parameter space for the popular freeze-out mechanism are still viable. Nevertheless, the regions of the parameter space corresponding to the …
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Continuous gravitational wave searches from neutron stars and exotic sources in ground-based interferometric data
… strategies: targeted searches, where source parameters should be perfectly constrained; narrowband searches, where source position is well constrained but rotational parameters not; and all-sky searches, which scan broad parameter spaces to find unknown sources. Specific attention is given to …
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Mapping viability and oxygen concentration in spheroids: A noninvasive approach with EPR imaging
… the narrow lineshape (or relevant spectral parameters) for each respective region in the spheroid. Two independent approaches were developed to accomplish the spectral localization--4D spectral-spatial imaging and projection based modeling (PBM). Based on the results of feasibility tests, it …
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