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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
- 1ASIC
- 1Adversarial Robustness
- 1Adversarial Training
- 1Approximate Computing
- 1Approximate adder
- 1Approximate computing
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Fall 2022
Since 2013, Deep Neural Networks (DNNs) have caught up to a human-level performance at various benchmarks. Meanwhile, it is essential to ensure its safety and reliability. Recently an avenue of study questions the robustness of deep learning models and shows that adversarial samples with...
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Fall 2014
Approximate adders have been considered as a potential alternative for error-tolerant applications to trade off some accuracy for gains in other circuit-based metrics, such as power, area and delay. Existing approximate adder designs have shown substantial advantages in improving many of these...
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Spring 2023
The deployment of computation-intensive applications, such as digital signal processing (DSP) and machine-learning (ML), on resource-constrained applications is spurring research that aims to increase the power efficiency of the arithmetic circuits that perform a huge amount of...
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Probabilistic and Stochastic Computational Models: from Nanoelectronic to Biological Applications
DownloadFall 2012
A finite state machine (FSM) is a classical abstract model for sequential circuits that are at the core of any digital system. Due to fabrication defects and transient faults, the reliable operation of sequential circuits is greatly desired. In this thesis, computational models are initially...
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Synthesis and Characterization of Approximate Circuits to Mitigate the Aging and Temperature Effects in an Advanced CMOS Technology
DownloadFall 2020
Hernandez Santiago, Francisco Javier
While the goal has been increasing performance and reducing power consumption by decreasing the transistor size, the most advanced semiconductor technologies (i.e., those with dimensions smaller than 45 nm) have become more susceptible to high temperatures and aging phenomena. As a consequence,...