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Skip to Search Results- 4Szostak, R.
- 2Harynuk, James
- 2Spaner, Dean
- 1Adutwum, Lawrence A
- 1Adutwum, Lawrence A.
- 1Adutwum, Lawrence A.
- 35Graduate and Postdoctoral Studies (GPS), Faculty of
- 35Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Economics, Department of
- 3Biological Sciences, Department of
- 3Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 3Economics, Department of/Journal Articles (Economics)
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Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine Analysis
Download2016
Adutwum, Lawrence A. , Harynuk, James, Mar, Arthur, Oliynyk, Anton O.
Partial least-squares discriminant analysis (PLS-DA) and support vector machine (SVM) techniques were applied to develop a crystal structure predictor for binary AB compounds. Models were trained and validated on the basis of the classification of 706 AB compounds adopting the seven most common...
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Collection and characterization of maize and upland rice populations cropped by resource-poor farmers in the uplands of Panama's Azuero region
Download2009
Spaner, Dean, Dreisigacker, Susanne, Love, Brian
The conservation of crop genetic resources is an international priority and requires the continued collection and characterization of farmer varieties. We collected and characterized maize and upland rice populations cropped by farmers in Panama's Azuero region. The objective of our study was to...
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Competitive traits and the stability of wheat cultivars in differing natural weed environments on the northern Canadian prairies
Download2008
Mason, Heather E., Goonewardene, Laksiri A., Spaner, Dean
Nine spring wheat cultivars, selected on the basis of height, tillering capacity and maturity, were grown in differing levels of natural weed presence at three locations in Edmonton and New Norway, Alberta between 2003 and 2004. The objectives of the study were to (1) identify competitive traits...
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2011
Interdisciplinary communication, and thus the rate of progress in scholarly understanding, would be greatly enhanced if scholars had access to a universal classification of documents or ideas not grounded in particular disciplines or cultures. Such a classification is feasible if complex concepts...
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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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Fall 2017
Advancements in data acquisition technologies and the desire for rich data has led to an increase in the size of data collected from modern analytical instruments. With the aid of chemometric techniques, researchers are still able to glean more useful information from these kinds of data than...
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Developing and Evaluating Algorithms for Fixing Omission and Commission Errors in Structured Data
DownloadFall 2020
The use of machine learning is rapidly rising to deliver a variety of benefits in various domains. However, developing predictive systems often faces many challenges that can drastically delay model deployment. For instance, obtaining labeled training data is one of the most expensive bottlenecks...
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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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Fall 2009
Synchronization is a very important part of every digital communication receiver. While in bandpass coherent transmission, frequency and phase synchronization play a very important role in reliable transmission, symbol timing recovery is a necessary part of every baseband and bandpass coherent...