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Skip to Search Results- 2White, Martha
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Akbari, Ali
- 1Akgun, Burcin
- 1Alinezhad, Haniyeh Seyed
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Fall 2017
On the one hand, theoretical analyses of machine learning algorithms are typically performed based on various probabilistic assumptions about the data. While these probabilistic assumptions are important in the analyses, it is debatable whether such assumptions actually hold in practice. Another...
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Interfacing Silicon-Based Quantum Dots with Proteins for Biological and Sensing Applications
DownloadFall 2020
This dissertation presents the preparation of functional bioinorganic hybrids from silicon-based quantum dots (SiQDs) and enzymes and the use of SiQDs and green fluorescent protein as ratiometric photoluminescent sensors for nerve agents. Chapter 2 discusses the preparation of water-soluble...
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Learning in silico Reactant and Bond-of-Metabolism Predictors for Human Cytochrome P450 Enzymes
DownloadFall 2019
Human beings are exposed to many chemicals through their routine interactions with the environment, such as food/drug consumption, household or workplace activities, industrial or transportation activities, and even common environmental processes. Once absorbed, these chemicals are usually...
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Fall 2009
In this thesis we consider the task of catching a moving target with multiple pursuers, also known as the “Pursuit Game”, in which coordination among the pursuers is critical. Our testbed is inspired by the pursuit problem in video games, which require fast planning to guarantee fluid frame...
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Leveraging Natural language Processing and Machine Learning Techniques to find Frailty Deficits from Clinical Dataset
DownloadSpring 2023
Introduction Frailty is a syndrome that is often associated with aging. It can be identified through specific frailty scales or a comprehensive assessment by a healthcare provider. In Alberta, it appears that there are no specific billing or diagnostic codes for frailty. So, healthcare providers...
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Fall 2021
The spatiotemporal distribution of hydraulic fracturing-induced microseismicity is complicated and depends on various mechanical and diffusional parameters. Hydraulic fracture modeling can aid in understanding fluid-induced microseismicity. Nevertheless, the interaction of several physical...
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Machine Learning and Text Mining: A New Approach to Determine the Weather Effects on Construction Incidents
DownloadSpring 2024
In the construction industry, safety standards are not only a priority but a necessity due to the dynamic nature of the field. Workplace safety is a complex issue influenced by a variety of factors that are constantly evolving. Each incident has the potential to impact the industry's intricate...
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Fall 2019
A rock burst refers to a sudden collapse and outburst of rocks mostly from the surface of underground excavations. As one of the most serious geological disasters, rock bursts have killed hundreds of miners and injured more. A problem that remains to be solved in rock engineering is to predict an...