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Skip to Search Results- 76Machine learning
- 19Learning
- 5Artificial intelligence
- 5Image processing
- 4Reinforcement learning
- 3Data mining
- 2White, Martha
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Alinezhad, Haniyeh Seyed
- 1Allen, Felicity R
- 1Araya, Ruben
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Fall 2021
Pressure swing adsorption (PSA) processes are an industrially mature low energy consumption pathway for gas separations. Due to their performance being linked to the separation media, they provide an additional degree of freedom for process design. They are difficult to accurately model due to...
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Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Diagnose ADHD and Autism
DownloadFall 2014
A clinical tool that can diagnose psychiatric illness using functional or structural magnetic resonance (MR) brain images would greatly assist physicians. Here, we propose a learning algorithm that uses the histogram of oriented gradients (HOG) features of MR brain images, as well as personal...
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Using Machine Learning to Identify Common Engagement-Related Behaviours Demonstrated by Older Adults with Dementia While Playing Mobile Games
DownloadFall 2022
Background: Dementia causes impairment of a person’s memory, cognitive abilities, and behaviour, making it difficult for a person to complete daily tasks. Dementia affects the behavioural, psychological, and social dimensions of older adults living with the disease. Older adults living with...
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Walking adaptation, training and assessment in young children and individuals with incomplete spinal cord injury
DownloadFall 2010
This thesis includes four projects that examine motor learning and assess novel approaches for the training and evaluation of walking. In Project 1 we study motor adaptation in children aged 8-36 months using a split-belt treadmill. Split-belt walking, in which one leg moves faster than the...
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Fall 2023
Oftentimes, machine learning applications using neural networks involve solving discrete optimization problems, such as in pruning, parameter-isolation-based continual learning and training of binary networks. Still, these discrete problems are combinatorial in nature and are also not amenable to...
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Spring 2024
Wildfires occurring in proximity to urban areas pose a potential risk to the safety and wellbeing of the population, while also carrying the potential for substantial economic damage through the destruction of infrastructure and private property. Canada, given its unique geographical and climatic...