Search for dissertations about: "modelling framework"
Showing result 1 - 5 of 561 swedish dissertations containing the words modelling framework.
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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. Optimization Framework for Crushing Plants
Abstract : Optimization is a decision-making process to utilize available resources efficiently. The use of optimization methods provide opportunities for continuous improvements, increasing competitiveness, trade-off analysis and as a support tool for the decision-making process in industrial applications. READ MORE
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3. Efficient Electromagnetic Induction Modelling : Adaptive mesh optimisation, advanced boundary methods and iterative solution techniques
Abstract : Forward modelling of electromagnetic induction data simulates the electric and magnetic fields within a computational domain for a given distribution of electromagnetic material properties and a given source of the electromagnetic field. The quantities of interest are the fields at receiver locations at the Earth's surface. READ MORE
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4. Highly-filled biocomposites: modelling, processing, and characterization
Abstract : The use of polymer with natural fiber reinforcements is expected to increase significantly. This can be noted in several industrial sectors of strategic importance for Sweden, such as automotive, packaging, construction, and furniture industries. READ MORE
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5. Modelling of drug-effect on time-varying biomarkers
Abstract : Model-based quantification of drug effect is an efficient tool during pre-clinical and clinical phases of drug trials. Mathematical modelling can lead to improved understanding of the underlying biological mechanisms, help in finding shortcomings of experimental design and suggest improvements, or be an effective tool in simulation-based analyses. READ MORE