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- 26Artificial Intelligence
- 23Reinforcement Learning
- 21Deep Learning
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- 165Graduate and Postdoctoral Studies (GPS), Faculty of
- 165Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 8Computing Science, Department of
- 7Computing Science, Department of/Technical Reports (Computing Science)
- 2Chemical and Materials Engineering, Department of
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- 165Thesis
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- 5Article (Published)
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Spring 2022
Molecular self-assembly is the basis of structure in Nature. While of far less complexity than a natural system, the same physical rules apply to simple synthetic designed systems that spontaneously form self-assembled structures and patterns. The self-assembly of block copolymers (BCPs) is an...
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Spring 2024
As cancer is the leading global cause of death, an ongoing challenge is predicting an individual's cancer progression accurately, to facilitate personalized treatment planning. Individuals diagnosed with cancer may succumb to the illness or face cancer recurrence post-treatment. The first part of...
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Fall 2024
Reinforcement learning has been widely applied in different control tasks. However, its performance often faces the challenge of low sample efficiency. Introducing human prior knowledge is often seen as a possible solution, such as behaviour cloning, learning from advice, and inverse...
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Fall 2024
The success of deep learning is partly due to the sheer size of modern models. However, such large models strain the capabilities of mobile or resourceconstrained devices. Ergo, reducing the resource demands of AI models is essential before AI can be deployed on such devices. One promising...
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Fall 2024
This thesis presents a novel data-driven approach for identifying categoryselective regions in the human brain that are consistent across multiple participants. By leveraging a massive fMRI dataset and a multi-modal (language and image) neural network (CLIP), we trained a highly accurate...
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2024-01-27
SSHRC IDG awarded 2024: The proposed research project seeks to answer two questions using a two-part study to combine a legal study with a deeper policy analysis. I seek to: 1) determine whether, as a matter of current law, the unauthorized use of copyrighted works in the development of...
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Fall 2016
Current medical imaging professional training uses an apprenticeship model with students following an established doctor and viewing their cases, in what is called a practicum. This posses an issue as students are limited to the cases available during their practicum. To resolve this automated...
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Fall 2017
Network connectivity is an indispensable component of any computer related activities. Any computer-like machine is connected to some kind of a network, which is further connected to another computer network. Technological advances allow users to connect any devices and use multiple applications....
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Data-driven development of advanced controllers for complex reaction systems with minimal prior information
DownloadFall 2024
In the realm of complex reactive systems where full knowledge of ongoing reactions is unattainable, the adoption of data-driven inferential models based on mixture spectra has gained significant traction. Spectra-based online monitoring has shown promise due to the rapidity, non-invasiveness,...
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Spring 2022
Numerical simulation and hybrid simulation are extensively used in earthquake engineering to evaluate the seismic response of structures under seismic loading. Despite the advances in computing power and the development of efficient integration algorithms in the past, numerical simulation...