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- 16mountain pine beetle
- 8artificial intelligence
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- 3anomaly detection
- 52Graduate and Postdoctoral Studies (GPS), Faculty of
- 52Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 11Concordia University of Edmonton
- 6Concordia University of Edmonton/Master of Science in Information Technology Project Reports (Concordia University of Edmonton)
- 4Computing Science, Department of
- 3Electrical and Computer Engineering, Department of
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Fall 2021
Successful learning is of vital importance to human cognition. Accordingly, researchers have been interested to understand brain-activity signals that support it. However, traditional analysis of brain activity is based on planned comparisons and descriptive methods, which can both overestimate...
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2021-09-01
Lately, technological advancement has made it possible with the accessibility of enormous annotated datasets and artificial intelligence breakthroughs to have sparked a spectacular rise of precise object recognition and analysis. This thesis specifies the development and implementation...
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Spring 2021
The number of childhood cancer survivors has dramatically increased in the past few decades due to advances in cancer treatment, shifting the priority from clinical treatment to improving long-term survivors’ quality of life. One late effect that greatly impacts female survivors is premature...
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Fall 2023
Learning only by direct interaction with the world can be expensive in many real world applications. In such settings, Model-based Reinforcement Learning (MBRL) methods are a promising avenue towards data-efficiency. By planning with a model, a sequential decision making agent can decrease its...
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Spring 2023
Five-year overall survival for gastric cancer in Canada is only 25%. Standard of care treatment using neoadjuvant chemotherapy and surgery achieves partial or complete treatment response in only 40% of patients. Additional strategies and methods to discover novel therapies and optimize existing...
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Spring 2024
Fire weather indices are used by fire management agencies around the world to estimate potential wildfire danger. This allows for resources to be allocated effectively and to warn communities of potential wildfire hazards. Currently, monitoring and short-term forecasting of fire weather depends...
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2023
Synthetic image generation using Generative Adversarial Networks (GANs) has emerged as a promising technique to address the challenge of limited datasets in the field of garbage classification. With supervised machine learning algorithms relying on labeled data and larger training examples, the...
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2021-01-01
Dean Koch, Mark A. Lewis, Subhash Lele
The mountain pine beetle (MPB) is among the most destructive eruptive forest pests in North America. A recent increase in the frequency and severity of outbreaks, combined with an eastward range expansion towards untouched boreal pine forests, has spurred a great interest by government, industry...
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The Spread of the Mountain Pine Beetle: Challenges and Solutions in Large-scale Spatial Ecological Modeling
DownloadSpring 2020
The mountain pine beetle (MPB) is among the most destructive eruptive forest pests in North America. A recent increase in the frequency and severity of oubtreaks, combined with an eastward range expansion towards untouched boreal pine forests, has spurred a great interest by government, industry...