Search for dissertations about: "Sequential design"
Showing result 21 - 25 of 195 swedish dissertations containing the words Sequential design.
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21. Machine learning using approximate inference : Variational and sequential Monte Carlo methods
Abstract : Automatic decision making and pattern recognition under uncertainty are difficult tasks that are ubiquitous in our everyday life. The systems we design, and technology we develop, requires us to coherently represent and work with uncertainty in data. READ MORE
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22. Parameter estimation in heterogeneous catalysis
Abstract : The detailed modelling of heterogeneous catalytic systems is challenging due to the unknown nature of new catalytic materials as well as the often required transient nature of the resulting models. Thus, this thesis deals with the methodologies involved in the kinetic modelling of heterogeneous catalysis and in particular NOx reduction systems. READ MORE
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23. Silicon nanowire based devices for More than Moore Applications
Abstract : Silicon nanowires (SiNW) are in the spotlight for a few years in the research community as a good candidate for biosensing applications. This is attributed to their small dimensions in nanometer scale that offers high sensitivity, label-free detection and at the same time utilizing small amount of sample. READ MORE
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24. A Framework for Analyzing the Operative Performance of Sequential Module Flows
Abstract : This thesis deals with sequential module flows (SMFs) and their operative performance. In brief, an SMF denotes the preassembly of components into product modules, which are delivered to a final assembly line in the same sequence as product variants are assembled. READ MORE
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25. Learning Sequential Decision Rules in Control Design: Regret-Optimal and Risk-Coherent Methods
Abstract : Engineering sciences deal with the problem of optimal design in the face of uncertainty. In particular, control engineering is concerned about designing policies/laws/algorithms that sequentially take decisions given unreliable data. This thesis addresses two particular instances of optimal sequential decision making for two different problems. READ MORE