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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
- 22Machine Learning
- 4Deep Learning
- 2Anomaly Detection
- 2Artificial Intelligence
- 2Computer Vision
- 2Filter Pruning
- 1Al Dallal, Ahmed
- 1Alateeq, Majed Mohammad
- 1Banerjee, Bitan
- 1Chalmers, David E.
- 1Dolatabadi, Amirhossein
- 1Goli, Alireza
- 4Reformat, Marek (Electrical and Computer Engineering)
- 3Dick, Scott (Electrical and Computer Engineering)
- 2Cheng, Li (Electrical and Computer Engineering)
- 2Khazaei, Hamzeh (Electrical and Computer Engineering)
- 1Ardakanian, Omid (Computing Science)
- 1Bezemer, Cor-Paul (Electrical & Computer Engineering)
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Spring 2019
The extraction of knowledge from data is a relatively recent computational pursuit which has been the focus of significant research attention and has an extensive field of potential applications. With the advent of widespread data collection describing a variety of systems spanning many fields of...
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Fall 2021
With the advent of cloud computing, many organizations are moving their software systems to cloud environments. This migration from on-premises to cloud infrastructure has led to the emergence of cloud applications. One of the essential concepts around cloud applications and cloud services is...
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Spring 2022
Can AI-driven robots replace sports officials and rehabilitation physicians in assessing the quality of human activities? An AI judging panel can attend to every nuance of an athlete’s performance and bring more just and agility in scoring. The subjectivity of the judging will be removed and no...
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Spring 2023
The gaming industry has experienced a sharp growth in recent years, surpassing other popular entertainment segments, such as the film industry. With the ever-increasing scale of the gaming industry and the fact that players are extremely difficult to satisfy, it has become extremely challenging...
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Logic-Oriented Fuzzy Neural Networks: Optimization and Applications of Interpretable Models of Machine Learning
DownloadFall 2023
With the rapid development of machine learning models along with increasingly complex data structures, it becomes difficult to ground the reliability of models’ predictions despite the substantial progress in favor of high approximation properties. The lack of interpretability remains a key...
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Fall 2023
Advancements in wireless communication are continuously evolving, and the progression towards the 6th generation (6G) and beyond of cellular architecture will heavily rely on the implementation of machine learning (ML) algorithms in both cellular devices and base stations (BSs), along with the...
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Spring 2021
Microwave planar resonators have been widely used in material characterization, environmental monitoring, proximity sensing, mechanical motion detection, etc. In general, non-contact sensing, real-time measurement, and CMOS compatibility, makes them interesting for chemical sensing, especially...
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Spring 2022
During the past 10 years, we have witnessed the proliferation of cloud computing services and their adoption in the industry. This rapid growth has been mainly due to economies of scale, improving resource utilization, infinite computing resources on demand, and pay per use cost model. However,...
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Robust and Accurate Generic Visual Object Tracking Using Deep Neural Networks in Unconstrained Environments
DownloadSpring 2022
The availability of affordable cameras and video-sharing platforms have provided a massive amount of low-cost videos. Automatic tracking of objects of interest in these videos is the essential step for complex visual analyses. As a fundamental computer vision task, Visual Object Tracking aims at...
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Fall 2023
The evolution of cloud computing in the last decade has offered unprecedented access to sizable, configurable computing resources with minimal management effort. Containerization of applications, particularly through Docker, has been pivotal in this progression. As modern software increasingly...