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Skip to Search Results- 1Adutwum, Lawrence A
- 1Alireza Kheradmand
- 1Armstrong, Michael D S
- 1Barker-Rothschild, Daniel
- 1Boers, Nicholas M.
- 1Cakiroglu, Celal
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Fall 2009
Systems of classifications are socially created and historically contingent. New classifications lead to the creation of new categories, new objects and new kinds of people. Over the last thirty years, some of the most successful categories have emerged from the study of seriality. This thesis...
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High-dimensional data mining: subspace clustering, outlier detection and applications to classification
DownloadSpring 2010
Data mining in high dimensionality almost inevitably faces the consequences of increasing sparsity and declining differentiation between points. This is problematic because we usually exploit these differences for approaches such as clustering and outlier detection. In addition, the exponentially...
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Fall 2010
In this dissertation, a hydrologic classification approach was tested using the shape factor of hydrographs to represent variation in streamflow regimes across Alberta. Hydrograph shape factor was effective at separating the forested landbase into 6 spatially distinct regions. Further statistical...
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Fall 2011
In this thesis, we focus on topics relevant to developing and deploying large-scale wireless sensor network (WSN) applications within real dynamic urban environments. Given few reported experiences in the literature, we designed our own such network to provide a foundation for our research. The...
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Fall 2012
Functional Magnetic Resonance Imaging (fMRI) measures the dynamic activity of each voxel of a brain. This dissertation addresses the challenge of learning a diagnostic classifier that uses a subject’s fMRI data to distinguish subjects with neuropsychiatric disorders from healthy controls. fMRI...
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Spring 2013
Each individual chromatogram is typically very sparse, especially when coupled with a technique such as mass spectrometry. Only a small portion of the recorded data actually contains potentially useful information. Since the inclusion of irrelevant information will have detrimental effects upon...
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Data analysis for the classification of gas-liquid and liquid-solid (slurry) flows using digital signal processing
DownloadSpring 2013
The Canadian oil sand industry operates three phase gas-liquid-solid hydrotransport pipelines to transport oil sand ore from mines to processing facilities. This hydrotransport process is critical to downstream separation activities, given the conditioning steps that occur within it: (i) lump...
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Spring 2014
Automated essay scoring (AES) is a technology that efficiently and economically score written responses by emulating intelligence of human scorer. Present study had employed open-source Natural Language Processing technologies for developing AES framework, to score multilingual medical licensing...
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Adolescent Idiopathic Scoliosis: Classifying, Assessing, and Monitoring using Surface Topography Asymmetry Analysis
DownloadFall 2014
The radiation dose and the associated lifetime risk of developing cancer is a problem justifying the use of surface topography (ST) as an alternative to radiographs for monitoring scoliosis. The current ST methods mainly rely on marker placement and fail to describe the 3D aspect of the scoliosis...
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Fall 2015
This study is about a series of operational acts of identification, such as interpretations, categorizations, representations, classifications, through which past materials have acquired their meaning and therefore identity. Furthermore, this meaning-making will be demonstrated always to be...