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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
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Fall 2012
Automated sports commentary is a form of automated narrative and human-computer interaction. Sports commentary exists to keep the viewer informed and entertained. One way to entertain the viewer is by telling brief stories relevant to the game in progress. We introduce a system called the...
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Fall 2017
This thesis focuses on determining innovative computer vision algorithms suitable for progress tracking and forming them into automated visual progress tracking framework. The main concept of this approach is reconstruction of an as-built 3D point cloud model of the object of interest based on...
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Fall 2018
Videogames often use artificial intelligence to control characters in the game world. In doing so, videogames require one or more agents to navigate from their current location to some desired goal location without collisions. We explore improving algorithm performance in both single and...
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Fall 2014
The classification of animal images based on camera trapping data is an important and challenging task in the domains of computer vision, machine learning and ecological management. This thesis presents an animal species identification system that can automatically identify the species of an...
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Automatic Detection of Underground Objects in Ground Penetrating Radar Images using Machine Learning
DownloadFall 2021
The population increase has stimulated the need for the creation and expansion of existing urban infrastructures such as sewer, water, power and telecommunication lines. In order to support this need, multiple efforts to find sustainable solutions that support the urbanization trend have been...