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- 75Adsorption
- 9Artificial intelligence
- 7Biochar
- 5Activated Carbon
- 5Reinforcement learning
- 5Kuznicki, S. M.
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Jin, Zhehui
- 3Noonari, Juned (Supervisor)
- 126Graduate and Postdoctoral Studies (GPS), Faculty of
- 126Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 8WISEST Summer Research Program
- 8WISEST Summer Research Program/WISEST Research Posters
- 7Master of Science in Internetworking (MINT)
- 7Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
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Advanced Machine Learning Techniques for Analysis of 4D Brain Images in Ischemic Stroke Diagnosis and Assessment
DownloadFall 2023
Acute Ischemic Stroke (AIS), a devastating cerebrovascular disorder, is one of the leading causes of disability and mortality worldwide. It occurs when the blood supply to a part of the brain is interrupted, resulting in the deprivation of oxygen and nutrients, leading to neuronal damage and...
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Fall 2023
Monitoring industrial processes is essential to maintain efficient and safe operation. An alarm system is an imperative component of industrial process monitoring, as it alerts operators to abnormal conditions. Alarms indicate when the process is disrupted, which allows operators to react...
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Fall 2009
The objective of this research was to develop new molecular sieve materials and to examine their applications in adsorptive gas separation processes. Several techniques to modify zeolite molecular sieve materials were developed, including a new pore size control mechanism and novel surface...
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Advances in Probabilistic Generative Models: Normalizing Flows, Multi-View Learning, and Linear Dynamical Systems
DownloadFall 2020
This thesis considers some aspects of generative models including my contributions in deep probabilistic generative architectures and linear dynamical systems. First, some advances in deep probabilistic generative models are contributed. Flow-based generative modelling is an emerging and highly...
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Spring 2010
Poor settling of solids increases land requirement for tailings containment and imposes severe constraints on the water balance. Consequent to these considerations, the alternating current electrocoagulation (AC/EC) technique emerged as a candidate for enhancing the settling behaviour of...
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Alzheimer’s Dementia Detection Through Machine Learning: Analyzing Linguistic and Acoustic Features in Spontaneous Speech
DownloadFall 2023
With the rapid aging of the world’s population, the global burden of aging related mental disorders, such as Alzheimer’s dementia (AD), is also on the rise. Unfortunately global healthcare systems are vastly under-resourced, which means that many people who need mental health services are unable...
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Fall 2013
In the development of a numerical model for the water cycle on Mars, adsorption of water vapour in the Martian regolith acts as a significant sink and retards the transport of mass. Adsorption on Mars cannot be studied directly, so a numerical model was created, and a diffusion sorption...