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Skip to Search Results- 76Machine learning
- 5Artificial intelligence
- 4Directionality
- 4Image processing
- 4Reinforcement learning
- 3Data mining
- 2White, Martha
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Alexandra Marie Claire Beatty
- 1Alinezhad, Haniyeh Seyed
- 1Allen, Felicity R
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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...
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Machine learning classification of plant genotypes grown under different light conditions through the integration of multi-scale time-series data
DownloadFall 2023
In order to mitigate the effects of a changing climate, agriculture requires more effective evaluation, selection, and production of crop cultivars in order to accelerate genotype-to-phenotype connections and the selection of beneficial traits. Critically, plant growth and development are highly...
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Spring 2019
Walking is a locomotor task that integrates information from all over the nervous system. The lumbosacral spinal cord houses neural networks that contribute to locomotion. These networks dominate locomotor activity during development and may provide suitable targets for restoring function after...
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Spring 2022
Processing of complex feedstocks for the production of value-added chemicals and fuels is industrially important. The lack of a priori knowledge of the innumerable species and the reaction pathways governing their conversion, has posed challenges to monitoring these processes. Although,...