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- 4Interdisciplinarity
- 4Mass-spectrometry
- 3Machine Learning
- 2Arson
- 2Automotive Gasoline Samples
- 4Szostak, R.
- 2Harynuk, James
- 1Adutwum, Lawrence A
- 1Adutwum, Lawrence A.
- 1Adutwum, Lawrence A.
- 1Alireza Kheradmand
- 30Graduate and Postdoctoral Studies (GPS), Faculty of
- 30Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Economics, Department of
- 3Biological Sciences, Department of
- 3Biological Sciences, Department of/Journal Articles (Biological Sciences)
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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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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...
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Spring 2019
Predictive modeling has proven to be a valuable tool in process industry to estimate hard-to-measure variables that cannot be measured online. Those variables usually require LAB analysis to be quantified, which is time-consuming and costly. Predictive modeling can be used for both regression and...
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2009
Wishart, D.S., Psychogios, N., Young, N., Xia, J.
Metabolomics is a newly emerging field of ‘omics’ research that is concerned with characterizing large numbers of metabolites using NMR, chromatography and mass spectrometry. It is frequently used in biomarker identification and the metabolic profiling of cells, tissues or organisms. The data...
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Morphometry of the teeth of western North American tyrannosaurids and its applicability to quantitative classification
Download2005
Samman, T., Hills, L. V., Powell, G. L., Currie, P. J.
Gross tooth morphology and serration morphology were examined to determine a quantifiable method for classifying tyrannosaurid tooth crowns from western North America From the examination of teeth in jaws, tyrannosaurid teeth could be qualitatively assigned to one of five types based on the...
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2008
The aim of this article is to illustrate how a belief in the existence of kinds may be justified for the particular case of natural kinds: particularly noteworthy in this respect is the weight borne by scientific natural kinds (e.g., physical, chemical, and biological kinds) in (i) inductive...