Search for dissertations about: "multivariate data analysis"
Showing result 11 - 15 of 439 swedish dissertations containing the words multivariate data analysis.
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11. Chemical Sensors and Multivariate Data Analysis
Abstract : Today, sensors can be found in many different applications, such as in home appliances, vehicles, medical equipments, mobile technology etc. Nearly all products with a reasonable technological height have a sensor integrated.Chemical Sensors are devices able to sense the chemical environment and are today an active area of research. READ MORE
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12. Directed Evolution of Glutathione Transferases Guided by Multivariate Data Analysis
Abstract : Evolution of enzymes with novel functional properties has gained much attention in recent years. Naturally evolved enzymes are adapted to work in living cells under physiological conditions, circumstances that are not always available for industrial processes calling for novel and better catalysts. READ MORE
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13. Multi-platform metabolomics assays to study the responsiveness of the human plasma and lung lavage metabolome
Abstract : Metabolomics as a field has been used to track changes and perturbations in the human body by investigating metabolite profiles indicating the change of metabolite levels over time and in response to different challenges. In this thesis work, the main focus was on applying multiplatform-metabolomics to study the human metabolome following exposure to perturbations, such as diet (in the form of a challenge meal) and exhaust emissions (air pollution exposure in a controlled setting). READ MORE
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14. Drill process monitoring in percussive drilling : a multivariate approach to data analysis
Abstract : .... READ MORE
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15. Learning Predictive Models from Electronic Health Records
Abstract : The ongoing digitization of healthcare, which has been much accelerated by the widespread adoption of electronic health records, generates unprecedented amounts of clinical data in a readily computable form. This, in turn, affords great opportunities for making meaningful secondary use of clinical data in the endeavor to improve healthcare, as well as to support epidemiology and medical research. READ MORE