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Skip to Search Results- 1Adutwum, Lawrence A
- 1Armstrong, Michael D S
- 1Barker-Rothschild, Daniel
- 1Fatema,Jannat
- 1Foroughi, Homa
- 1Harynuk, J. J.
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2012
de la Mata, A. P., Harynuk, J. J., Sinkov, N.A.
Interesting real-world samples are almost always present as mixtures containing the analyte(s) of interest and a matrix of components that are irrelevant to answering the analytical question at hand. Additionally, the compounds comprising the matrix are usually present in far greater...
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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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Spring 2014
Proper understanding of SAGD produced water and boiler blow down (BBD) water in particular is required to propose effective treatment processes for reuse and reduction in the quantity of disposable water. BBD contains high dissolved organic matter (DOM) and total dissolved solid (TDS). This...
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Simulation of Fire Debris for the Training of Chemometric Models for the Identification of Ignitable Liquids
DownloadSpring 2015
Arson is one of the most challenging crimes for forensic scientists to investigate. The variability in the composition of ignitable liquids, including changes in chemical composition during and after the fire, and the presence of pyrolysis products generated from burning substrates yields a very...
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Developing and Optimizing Context-Specific and Universal Construction Labour Productivity Models
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Construction labour productivity (CLP) significantly influences the profitability of construction companies; however, CLP exhibits the highest variability among project resources and is a major source of project risk. The construction industry is thus constantly searching for ways to improve...
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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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Spring 2017
At the core of many computer vision methods lies the question of how to represent data. Representing the data in a meaningful way, which highlights its most useful properties, can significantly affect the performance of any vision-based application. Traditional systems are heavily reliant on...
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Application of chemometric and experimental tools for monitoring processes of industrial importance
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The common theme of this work was to investigate the relationships between multi-dimensional experimental data and the physical and chemical properties of certain reacting systems that have industrial relevance. Three particular systems of increasing complexity in terms of composition of the...
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Understanding the Chemistry of Conversion of Model Compounds and Biomass by Hydrous Pyrolysis Based on Spectroscopic Data Using Data Fusion, Data Mining, and Chemometrics
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Encoding the presence of multispecies in a complex system, difficulty in characterizing the physical constituents of the products with analytical instruments along with developing the causality or modeling between these groups are some major challenges in a complex system such as biomass...