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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
- 2Atai, Ali Asghar.
- 2Belay, Tsegay
- 2Bhaduri,Swayamdipta
- 2Brenneis, Dylan
- 2Carrigy, Nicholas B.
- 2Chen, Jie
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Fall 2010
Oil sand deposits are found at three depths; shallow, intermediate, and deep. Shallow deposits are processed by surface mining while deep deposits are processed using thermal extraction methods. There are currently no production methods to extract oil sand at intermediate depths. The...
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A conceptual framework for real-time adaptive supply chain systems based on Internet of Things (IoT)
DownloadSpring 2018
Supply chain (SC) systems are often subject to high operational dynamics due to the large number of resources involved, frequent interaction between them, exhaustive human participation and timely decisions being made. This dynamic nature of SCs can be organized more efficiently by adopting...
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Spring 2011
The statistical properties of training, validation and test data play an important role in assuring optimal performance in artificial neural networks (ANN). Re-searchers have proposed randomized data partitioning (RDP) and stratified data partitioning (SDP) methods for partition of input data...
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A Data-Driven Neural Network Model to Correct Derived Features in a RANS-Based Simulation of the Flow Around a Sharp-Edge Bluff Body
DownloadSpring 2023
In this dissertation, a machine-learning method is utilized to enhance the accuracy of wake parameters calculated by Reynolds Averaged Navier Stokes (RANS) k-ω SST model of flow on and around wall-mounted rectangular cylinders. Using high-quality results from Large Eddy Simulation (LES), this...