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- 9Chemometrics
- 8Interdisciplinarity
- 4Mass-spectrometry
- 3Gas Chromatography
- 3Machine Learning
- 6Szostak, R.
- 2Brigandt, Ingo
- 2Harynuk, James
- 1Adutwum, Lawrence A
- 1Adutwum, Lawrence A.
- 1Adutwum, Lawrence A.
- 37Graduate and Postdoctoral Studies (GPS), Faculty of
- 37Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 6Economics, Department of
- 5Economics, Department of/Journal Articles (Economics)
- 3Philosophy, Department of
- 3Biological Sciences, Department of
- 37Thesis
- 14Article (Published)
- 2Report
- 1Chapter
- 1Conference/Workshop Presentation
- 1Research Material
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Spring 2021
The electrocardiogram is the standard tool for detecting cardiac abnormalities, such as atrial fibrillation, irregular complexes, and heart blocks. However, the interpretation of this data is an unsolved problem with discrepancies among panels of cardiologists and automated analysis requiring...
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2008
Purpose - This paper aims to respond to the 2005 paper by Hjorland and Nissen Pedersen by suggesting that an exhaustive and universal classification of the phenomena that scholars study, and the methods and theories they apply, is feasible. It seeks to argue that such a classification is critical...
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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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2008
Abstract: This paper draws upon the scholarship of interdisciplinarity to argue that Economics, like all disciplines, should be open to a wide range of theories and methods, and the study of all relevant phenomena. A classification of the different methods and theory types used by scholars...
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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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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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Decomposition and Feature Selection of Comprehensive 2-DimensionalGas Chromatography - Time-of-Flight Mass Spectrometry(GC×GC-TOFMS) Data
DownloadFall 2021
Comprehensive Two-Dimensional Gas Chromatography - Time-of-Flight Mass Spectrometry (GC×GC-TOFMS) is an advanced instrumental technique that separates complex mixtures along two chromatographic dimensions, followed by multivariate detection that collects mass spectral information at a high...
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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...