Search for dissertations about: "pattern analysis"
Showing result 36 - 40 of 1423 swedish dissertations containing the words pattern analysis.
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36. Approaches for analysis of mutations and genetic variations
Abstract : Detecting mutations and genomic variations is fundamental indiagnosis, isolating disease genes, association studies,functional genomics and pharmacogenomics. The objective hasbeen to use and further develop a variety of tools andtechnologies to analyze these genetic alterations andvariations. READ MORE
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37. Video based analysis and visualization of human action
Abstract : Analyzing human motion is important in a number of ways. An athlete constantly needs to evaluate minute details about his or her motion pattern. In physical rehabilitation, the doctor needs to evaluate how well a patient is rehabilitating from injuries. Some systems are being developed in order to identify people only based on their gait. READ MORE
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38. Computational methods for analysis of spatial transcriptomics data : An exploration of the spatial gene expression landscape
Abstract : Transcriptomics techniques, whether in the form of bulk, single cell/nuclei, or spatial methods have fueled a substantial expansion of our knowledge about the biological systems within and around us. In addition, the rate of innovation has accelerated over the last decade, resulting in a multitude of technological advances and new methods for generation of transcriptomics data. READ MORE
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39. On a novel technique for preparation and analysis of the implant surface and its interface to bone
Abstract : The ultrastructural and biomechanical properties of the bone-implant interface are important factors for implant performance. For further understanding of the osseointegration process novel tools enabling analysis of the intact interface in high resolution is needed, preferably combined with histology and biomechanical tests. READ MORE
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40. Clustering Techniques for Mining and Analysis of Evolving Data
Abstract : The amount of data generated is on rise due to increased demand for fields like IoT, smart monitoring applications, etc. Data generated through such systems have many distinct characteristics like continuous data generation, evolutionary, multi-source nature, and heterogeneity. READ MORE