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Skip to Search Results- 1Adutwum, Lawrence A
- 1Alireza Kheradmand
- 1Aragones Suarez, Pablo
- 1Boers, Nicholas M.
- 1Cakiroglu, Celal
- 1Casciaro, Yolanda
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Fall 2019
The growth of an organization in the market relies on customer’s satisfaction towards its products and services. Due to the dynamic nature of the internet, and increasing blogs, forums, and customer feedback, it usually remains a key issue in any industry to identify and extract data attributes...
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Fall 2015
Flow is a psychological state that provides a person with enjoyment when their skills and the challenges of their activity match. Thus flow encourages people to persist at and return to just manageable challenges; thereby fostering the growth of skills over time. It seems natural to assume that...
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Fall 2010
A challenge in petroleum geostatistics is the application of modeling algorithms such as Gaussian simulation to unstructured grids that are being used for flow simulation. Geostatistical modeling is typically applied on a fine scale regular grid and then upscaled to the unstructured grid. This...
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Spring 2010
As the demand for oil and gas resources increases pipeline construction pushes further into the Arctic and sub-Arctic regions. Consequently, these buried pipelines suffer much harsh environmental and complex loading conditions. Moreover, to increase the transporting efficiency, larger size pipes...
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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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Inferring Semantic Information from Websites: A View into Contextual Advertising and User Behavior Profiling
DownloadFall 2015
The World Wide Web has become an important platform for the execution of diverse types of human endeavor. There are billions of webpages covering different subjects and users with varied backgrounds on the web. Every day, colossal volumes of data are collected about the usage of websites....
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Integrated Classification of Cannabis Strains Marketed in Canada for Medical Purposes Based on Genetic, Chemical Profiles, and Morphological Traits
DownloadFall 2021
The vernacular naming convention commonly used by the cannabis community (“Sativa” and “Indica”) is inadequate for identifying or selecting strains for clinical research and medicinal production because they are arbitrary and inconsistent. In addition, they mostly contain tetrahydrocannabinol...
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Interpretation of sponge fossil faunas: A neontological approach to a paleontological problem
DownloadFall 2021
The tempo and mode of early animal evolution remains one of the biggest conundrums in biology. Stratigraphy shows that there is a gap, not attributable to poor preservation, of at least ~100 Myr between the oldest animal fossils and the divergence times implied by molecular phylogenies. Sponges,...
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Latent Class and Functional Data Analyses for the Investigation of Stiffness in Low Back Pain
DownloadFall 2018
Low back pain (LBP) is known to be a prevalent, debilitating and costly condition, not to mention the difficulty clinicians have treating it. But progress has been made, as it has recently been shown that instrumented L3 indentation generates force-displacement (F-D) data that is associated with...