Search for dissertations about: "MArkov modelling"
Showing result 1 - 5 of 64 swedish dissertations containing the words MArkov modelling.
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1. Probabilistic Modelling of Hearing : Speech Recognition and Optimal Audiometry
Abstract : Hearing loss afflicts as many as 10\% of our population.Fortunately, technologies designed to alleviate the effects ofhearing loss are improving rapidly, including cochlear implantsand the increasing computing power of digital hearing aids. Thisthesis focuses on theoretically sound methods for improvinghearing aid technology. READ MORE
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2. Modelling of Turbulent Flow and Heat Transfer for Building Ventilation
Abstract : This thesis contributes to studies on the assessment of building ventilation performance and the development of turbulence models accounting for Low-Reynolds-number (LRN) effects and buoyant convection with heat transfer. Assessments of building ventilation performance are discussed with respect to indoor air distribution and passive contaminant dispersion. READ MORE
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3. Rainflow Analysis of Switching Markov Loads
Abstract : Rainflow cycles are often used in fatigue analysis of materials for describing the variability of applied loads. Therefore, an important characteristic of a random load process is the intensity of rainflow cycles, also called the expected rainflow matrix (RFM), which can be used for evaluation of the fatigue life. READ MORE
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4. Modelling of Substance Flows in Urban Drainage Systems
Abstract : Stormwater is recognised as a large contributor of toxic substances to receiving waters. Different measures to manage stormwater quality have been proposed, including structural and non-structural best management practices (BMPs). Computer models have become useful tools for the analysis, evaluation and design of these BMPs. READ MORE
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5. Methodological Studies on Models and Methods for Mixed-Effects Categorical Data Analysis
Abstract : Effects of drugs are in clinical trials often measured on categorical scales. These measurements are increasingly being analyzed using mixed-effects logistic regression. However, the experience with such analyzes is limited and only a few models are used. READ MORE