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- 52Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 11Concordia University of Edmonton
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Factors governing outbreak dynamics in a forest intensively managed for mountain pine beetle
Download2020-05-05
Mélodie Kunegel-Lion, MarkA. Lewis
Mountain pine beetle (MPB) outbreaks have caused major economic losses and ecological consequences in North American pine forests. Ecological and environmental factors impacting MPB life-history and stands susceptibility can help with the detection of MPB infested trees and thereby, improve...
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Finding Interesting Moments in Videos: Audio-visual and Unsupervised Video Highlight Detection
DownloadSpring 2022
Video is the dominant medium through which we consume information. Due to the sheer volume of video content, it is of great interest in the research community to develop automated ways to make this content manageable. In video highlight detection, our goal is to automatically find interesting...
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From Adaptive Testing to Personalized Adaptive Testing: Applications of Machine Learning Algorithms
Download2022-11-03
Invited talk given at the Twentieth Annual MARC Virtual Conference on November 3, 2022.
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Functional Genomics of Bacterial and Fungal Biocontrol Agents for Biotechnological Applications
DownloadSpring 2022
Microbial-based biotechnologies were developed using combinations of functional genomics, biochemical tools, and a tripartite pine tree-beetle-fungal infection model. Several bacterial and fungal species were probed for natural product biosynthesis potential using whole genome sequencing while...
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Spring 2019
Rapid advances in sequencing technologies and analysis methods have greatly increased our understanding of genomic architecture in non-model organisms. The mountain pine beetle (MPB; Dendroctonus ponderosae) is a non-model organism that has received intensive genomic study and is of great...
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Harnessing Visual Analytics for Enhanced Winter Road Safety: A Framework for Continuous Road Surface Friction Estimation
DownloadFall 2023
Winter Road Surface Condition (RSC) monitoring currently relies on qualitative descriptors such as "bare lane," "partially snow-covered," and "fully snow-covered. These descriptors present two inherent problems—their subjective nature, which gives rise to measurement inconsistencies, and the...
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2020
Healthcare Fraud is an act that causes a loss of billions of dollars every year across the world. The impact of healthcare fraud is very far-reaching and affects the efficiency of healthcare systems. To thwart the perpetrators early on, intelligent fraud detection technologies are required to...
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IDENTIFYING ADOLESCENTS AT RISK OF DEVELOPING NEGATIVE OUTCOMES AFTER RECEIVING OPIOID ANALGESICS FOR CHRONIC NON-CANCER PAIN MANAGEMENT USING MACHINE LEARNING ALGORITHMS
DownloadSpring 2023
Canada's prescription opioid dispensing rates have increased since the early 21st century and this has contributed to an increase in opioid-related morbidity and mortality. Adolescents are one of the most vulnerable age groups when it comes to experiencing morbidity and mortality related to...
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In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities
Download2023-09-14
Nazli Kazemi, Mohammad Abdolrazzaghi, Peter E Light, Petr Musilek
Continuous glucose monitoring schemes that avoid finger pricking are of utmost importance to enhance the comfort and lifestyle of diabetic patients. To this aim, we propose a microwave planar sensing platform as a potent sensing technology that extends its applications to biomedical analytes. In...