Search for dissertations about: "Sequential Monte Carlo method"
Showing result 16 - 20 of 24 swedish dissertations containing the words Sequential Monte Carlo method.
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16. Simulation Based Methods for Target Tracking
Abstract : In this thesis we study a Bayesian estimation formulation of the target tracking problem. Traditionally, linear or linearized models are used, where the uncertainty in the sensor and motion models is typically modeled by Gaussian densities. Hence, classical sub-optimal Bayesian methods based on linearized Kalman filters can be used. READ MORE
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17. Risk Management in Tunneling Projects : Estimation and Planning
Abstract : Cost overruns and schedule delays are frequently observed occurrences in the construction of transport infrastructure projects. Such phenomena lead to the mismanagement of significant amounts of both public and private resources. READ MORE
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18. Doping and Density of States Engineering for Organic Thermoelectrics
Abstract : Thermoelectric materials can turn temperature differences directly into electricity. To use this to harvest e.g. waste heat with an efficiency that approaches the Carnot efficiency requires a figure of merit ZT larger than 1. READ MORE
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19. Simulation-based Optimization and Decision Making with Imperfect Information
Abstract : The purpose of this work is to provide simulation-based support for making optimal (or near-optimal) decisions in situations where decision makers are faced with imperfect information. We develop several novel techniques and algorithms for simulation-based optimization and decision support and apply them to two categories of problems: (i) Unmanned Aerial Vehicle (UAV) path planning in search operations, and; (ii) optimization of business process models. READ MORE
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20. Stochastic model updating and model selection with application to structural dynamics
Abstract : Uncertainty induced by our incomplete state of knowledge about engineering systems and their surrounding environment give rise to challenging problems in the process of building predictive models for the system behavior. One such challenge is the model selection problem, which arises due to the existence of invariably multiple candidate models with different mathematical forms to represent the system behavior, and so there is a need to assess their plausibility based on experimental data. READ MORE