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 102 for “"State Models"”.
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Hidden state models for time series
… In this thesis, we consider hidden space models for analysing and describing time series. We first provide an introduction to the principal concepts of hidden state models and draw an analogy between hidden Markov models and state space models. Central ideas such as hidden state inference …
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Fuzzy Logic, Genetic Algorithms and Next-State Models
… networks using Fuzzy Logic. Fuzzy Logic models allow for genes to not only be on or off but also be partially on or partially off. The models we developed are compared to network models developed from a literature sources by jActiveModules (JAM). Our results are mixed. The models we …
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Continuous Time Multi-state Models for Survival Analysis
… analysis techniques for continuous time multi-state models. It explores homogeneous Markov models, homogeneous semi-Markov models, non-homogeneous Markov models, and general models. It also discusses the likelihoods, hazards, and probabilities for each model. This paper examines techniques that …
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Random search of AND-OR graphs representing finite-state models
… software represented by communicating finite-state machines. But these tools may require a very large amount of memory. A finite-state model can be translated automatically into a compact AND-OR graph. We use an abductive random search scheme to extract, from the AND-OR graph, information …
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Diagnosis of Finite State Models Under Partial or Unreliable Observations
We evaluate the diagnosis performance of the above schemes and explore tradeoffs among observation limitations, communication cost, and memory and processing requirements.
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Digital State Models for Infrastructure Condition Assessment and Structural Testing
… introduces and applies the concept of digital state models for civil infrastructure condition assessment and structural testing. Digital state models are defined herein as any transient or permanent 3D model of an object (e.g. textured meshes and point clouds) combined with any electromagnetic …
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Steady-state models and multiple equilibria in transportation: theory and evidence
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-08-01
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Development and Application of Coupled Cluster Ground- and Excited-State Models
… development of high-accuracy quantum chemical models. The reliability of these methods often hinges on whether enough electron correlation is included in the truncated wave function. As an example, we investigate the structures of m-benzyne and its fluorinated derivative, tetrafluoro-m-benzyne …
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Comparing 12 finite state models of examinee performance on multiple-choice tests
Finite state test theory models the response behavior of an examinee and establishes the relationship between the ability of the examinee and the observed responses on a multiple-choice test. In finite state modeling, various assumptions about item characteristics and the examinees’ response …
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Interval Methods for Reliable Computations of Phase Equilibrium From Equation of State Models
We have addressed the phase split problem with the Gibbs energy minimization approach. INTSTAB is first used to obtain all the stationary points. They provide extremely good initial estimates for the equilibrium phase compositions. An enhanced Han-Powell method for successive quadratic programming …
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Coping with uncertain dynamics in visual tracking : redundant state models and discrete search methods
… Resorting to use of approximate motion models complicates tracking by making it less robust to unmodeled noise and increasing running times. We propose two complimentary approaches to tracking with approximate dynamic models in a probabilistic setting. The Redundant State Multi-Chain …
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Multi-state models for the analysis of Wheeze in a birth cohort of Western Cape children
… contexts. This study aimed to use multi-state models to estimate the rate of transition among various states of wheeze in children from birth to the age of three years. This study also aimed to investigate the association between possible risk factors for childhood wheezing and the …
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MARKOV STATE MODELS AND THEIR APPLICATIONS IN PROTEIN FOLDING SIMULATION, SMALL MOLECULE DESIGN, AND MEMBRANE PROTEIN MODELING
… is focused on the application of Markov State Models on protein folding and designing of small drug-like molecules, as well as application of computational tools on the study of biological processes. The central focus of protein folding is to understand how proteins obtain their unique …
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An investigation into the use of B-Nodes and state models for computer network technology and education
This thesis consists of a series of internationally published, peer reviewed, conference research papers and one journal paper. The papers evaluate and further develop two modelling methods for use in Information Technology (IT) design and for the educational and training needs of students within …
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When the Map Fails the Territory: Hidden State Models, Complex Traits and the Evolution of Bird Migration
… the utility of structured hidden Markov models (SHMMs) for identifying underlying continuous architectures, like threshold traits, within simulated and empirical discrete datasets (Chapter ref{ch:1}). Taking bird migration as an example of a hard-to-measure complex trait, I then develop …
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Stability and Change in Goal Orientation and Their Relationship with Performance: Testing Density Distributions Using Latent Trait-State Models
… orientation as a stable trait or a malleable state. Issues of state-versus-trait have long fueled the person-situation debate in personality psychology. Fleeson (2001) offered a solution for integrating the two theoretical perspectives called the density distribution approach. By incorporating …
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On change in length of stay associated with an intermediate event: estimation within multi-state models and large sample properties
… equal to the time spent in the <br>intermediate state. We suggest and study functionals quantifying <br>change in length of stay. Our approach applies quite generally to <br>functionals summarizing the impact of an intermediate on a terminal <br>event.
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Multi-state modelling to estimate infectious disease burden
… In this thesis I aim to develop and apply multi-state models to estimate infectious disease burden from observational data. Multi-state models are a flexible approach to estimating risks and lengths of stay, and capable of accounting for data biases and censoring. I demonstrate the potential of …
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Development of a plant-wide steady-state wastewater treatment plant design and analysis program
Models are used as prognostic and diagnostic tools in order to design, analyse and optimise the biological and physical processes in a wastewater treatment plant (WWTP). This is done in order to save time and money and to improve the understanding of the behaviour of the treatment system. There are …
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