Search for dissertations about: "Multivariate data-analysis"
Showing result 21 - 25 of 141 swedish dissertations containing the words Multivariate data-analysis.
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21. Multivariate data analysis applied to MRS and MRI studies of aging and spinal cord injury
Abstract : Magnetic resonance can be used for non-invasive studies of the body without the use of ionizing radiation. Magnetic resonance imaging and magnetic resonance spectroscopy have proven to be valuable utilities for research in life sciences. READ MORE
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22. Modern landfill leachates – quality and treatment
Abstract : Waste management in Europe has changed, mainly as a result of stricter regulations, most notably the European Landfill Directive 1999/31/EC. In Sweden, landfill tax and a ban on the landfilling of waste with total organic carbon content over 10 % have diverted large amounts of waste from landfills. READ MORE
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23. Liquid Chromatography Coupled to Mass Spectrometry : Implementation of Chemometric Optimization and Selected Applications
Abstract : Liquid chromatography (LC) coupled to mass spectrometry (MS) offers highly selective and sensitive analysis of a wide variety of compounds. However, the use of hyphenated experimental set-ups implies that many parameters may have an effect on the studied response. READ MORE
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24. Raman Spectroscopy and Hyperspectral Analysis of Living Cells Exposed to Nanoparticles
Abstract : Nanoparticles, i.e. particles with at least one dimension smaller than 100 nm, are present in large quantities in ambient air and can also be found in an increasing amount of consumer products. It is known that many nanomaterials have physicochemical properties that differ from physicochemical properties of the same material in bulk size. READ MORE
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25. Continuous monitoring of mineral processes with special focus on tumbling mills : a multivariate approach
Abstract : Increasing emphasis on productivity and quality control has provided an impetus to research on better methodologies for diagnosis, modelling, monitoring, control and optimisation of mineral process systems. One of the biggest challenges facing the research community is the processing of raw sensor data into meaningful information. READ MORE