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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 12Parameter estimation
- 2Kinetic model
- 2Moving horizon estimation
- 2State estimation
- 1Aeration
- 1Agglomerate
- 1Baabdulla, Arwa Abdulla
- 1Debnath, Sarupa
- 1Dobson, Peter
- 1Ghosh, Kushankur
- 1Han, Ruijing
- 1Hosseini, Amir Hossein
- 5Department of Chemical and Materials Engineering
- 2Department of Mathematical and Statistical Sciences
- 1Department of Chemical Engineering
- 1Department of Civil and Environmental Engineering
- 1Department of Computing Science
- 1Department of Educational Psychology
- 2Huang, Biao (Chemical and Materials Engineering)
- 1Ben-Zvi, Amos (Chemical and Materials Engineering)
- 1Biggar, Kevin (Civil and Environmental Engineering)
- 1Deutsch, Clayton (Civil and Environmental Engineering)
- 1Hayes, Robert (Chemical and Materials Engineering)
- 1Hillen, Thomas (Mathematical and Statistical Sciences)
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Spring 2024
In machine learning and data mining, outliers—data points significantly differing from the majority—often pose challenges by introducing irrelevant information. Unsupervised methods are often used for detecting them as the information about outliers is unknown. Global-Local Outlier Scores based...
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CFD Modelling of Bioprocesses: Integrating Mechanical Mixing, Aeration and Dynamic Rheology
DownloadFall 2021
Sadino Riquelme, Maria Constanza
Bioprocesses currently have a huge importance in worldwide sustainable development. However, the design of bioreactors based on experimental and empirical knowledge poses a challenge for the industrial biotechnology. Thus, CFD has gained attention as a design tool. Although CFD modelling has...
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Spring 2011
One of heavy oils upgrading processes is hydroconversion. As it is a complex process involving many chemical reactions, the mathematical model of hydroconversion process often has more kinetic parameters than can be estimated from the data. In this thesis, a model for hydroconversion processing...
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Spring 2013
Parameter estimation of a dynamic system is an important task in process systems engineering. The utilization of an augmented system offers the approach of estimating process states and parameters simultaneously. In practice, the parameters often satisfy certain constraints which should be...
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Fall 2011
Computer modeling is critical for catalyst layer (CL) design in polymer electrolyte membrane fuel cells. Water-filled and ionomer-filled agglomerate models have been suggested as representations of the CL microstructure. In this thesis, improved water-filled and ionomer-filled agglomerate models...
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Fall 2024
In this thesis, we explore the spatial dynamics of viral infection within tissue through mathematical modelling, aiming to understand the impact of virus spread on both cancerous and healthy tissue. Specifically, we investigate how spatial patterning and heterogeneity influence viral infection...
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Spring 2024
Modern industries are increasingly embracing complex, large-scale processes with interconnected units for their economic benefits. The increasing scale of industrial processes and the complexity of unit interactions substantially complicate the development of advanced process control systems....
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Parameter Estimation of Mathematical Models: Estimation of the Burden of HIV Epidemics as a Case Study
DownloadFall 2016
Mathematical models are widely used to describe dynamics in various fields. In practice, it is necessary and important to determine model parameters based on existing data. A major challenge for parameter estimation under modeling framework lies in non-identifiability issue: parameter values on a...
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Fall 2009
Natural attenuation refers to the observed reduction in contaminant concentration via natural processes as contaminants migrate from the source into environmental media. Assessment of the dimensions of contaminant plumes and prediction of their fate requires predictions of the rate of dissolution...