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- 16mountain pine beetle
- 8artificial intelligence
- 6reinforcement learning
- 4microwave sensor
- 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 2023
With the advances made in machine learning and data science, data-driven modeling and optimization techniques have garnered significant attention in recent years. However, despite the availability of various data-driven methods for addressing optimization problems under uncertainty, their...
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2017
Aggarwal, K., Timbers, F., Rutgers, T., Hindle, Abram, Stroulia, E., Greiner, R.
Bug deduplication, ie, recognizing bug reports that refer to the same problem, is a challenging task in the software-engineering life cycle. Researchers have proposed several methods primarily relying on information-retrieval techniques. Our work motivated by the intuition that domain knowledge...
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2015
Aggarwal, K., Rutgers, T., Timbers, F., Hindle, Abram, Greiner, R., Stroulia, E.
In previous work by Alipour et al., a methodology was proposed for detecting duplicate bug reports by comparing the textual content of bug reports to subject-specific contextual material, namely lists of software-engineering terms, such as non-functional requirements and architecture keywords....
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Disentangling a freshwater amphipod–acanthocephalan system from ecological and molecular perspectives
DownloadSpring 2019
One of the major goals in ecological research is to understand factors that influence distribution, diversity and prevalence of parasites and their hosts. How hosts are distributed geographically clearly restricts the spatial distribution of associated obligatory parasites. This restriction is...
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Economics of wildfire suppression: Estimation of drivers of suppression expenditure and Risk preference experiments with wildfire management
DownloadSpring 2022
Public wildfire management agencies are presented with a momentous responsibility: to protect life, property and infrastructure from the devastation of wildland fire, while operating at a level of expenditure justifiable to taxpayers. At a time when climate change drives more extreme fire...
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2022-11-01
In this work, a microwave planar sensor is used for liquid material characterization. Two identical complementary split-ring resonators operating at 3 GHz are coupled to create a highly sensitive capacitive region. The moderate quality factor of the sensor ~230 is significantly improved up to...
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Enhancing the Performance of Smart Grids via Applying Machine Learning Methods to Smart Meter Data
DownloadFall 2019
Conventional distribution systems need to undergo several updates to be able to meet modern energy requirements. While conventional grids have been able to satisfy the objectives they were designed for, lack of sensors and powerful communication systems, primitive control and management methods,...
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Fall 2023
Modelling agent preferences has applications in a range of fields including economics and increasingly, artificial intelligence. These preferences are not always known and thus may need to be estimated from observed behavior, in which case a model is required to map agent preferences to...
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Spring 2021
Temporal difference (TD) methods provide a powerful means of learning to make predictions in an online, model-free, and highly scalable manner. In the reinforcement learning (RL) framework, we formalize these prediction targets in terms of a (possibly discounted) sum of rewards, called the...
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Estimating Winter Road Friction Coefficients: An Integrated Approach using Machine Learning, Explainable AI, and Model Transferability
DownloadFall 2023
Ensuring road safety and efficient traffic movement through Winter Road Maintenance (WRM) operations is a pressing concern, particularly during harsh weather conditions. The challenge of accurately monitoring road friction coefficients, which play a crucial role in WRM, often leads to impractical...