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ADVANCED MACHINE LEARNING EMPOWERING MICROWAVE SENSORS WITH GENERATIVE/PREDICTIVE CAPABILITIES
DownloadFall 2023
This dissertation, addressing the critical shortage of microwave planar sensors, embarks on a journey to advance noncontact sensing applications, with a particular emphasis on the application of machine learning techniques to address existing problems. It pioneers the introduction of a unique...
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Analyzing the risks associated with railway transportation of hazardous materials and developing process models for railway incidents with high potential for release using machine learning and data analytics
DownloadSpring 2023
The Canadian economy relies heavily on its transportation network. It supports hundreds of thousands of jobs, contributes billions to the economy, and facilitates the movement of goods within the country as well as internationally. Railways provide affordable and efficient transportation to over...
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Application of machine learning techniques to predict the unconfined compressive strength of sustainable cementitious materials used in the mining industry
DownloadFall 2023
Balasooriya Arachchilage, Chathuranga S J
Various forms of cementitious materials, including shotcrete, grouts, and cemented paste backfill (CPB), are made with ordinary Portland cement (OPC). They are widely used for both underground and surface mining applications. However, due to the high carbon footprint of OPC production, the mining...
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Artificial Neural Network Model for Analysis of In-Plane Shear Strength of Partially Grouted Masonry Shear Walls
DownloadSpring 2018
The behaviour of partially grouted (PG) masonry shear walls is complex, due to the inherent anisotropic properties of masonry materials and nonlinear interactions between the mortar, blocks, grouted cells, ungrouted cells, and reinforcing steel. Since PG shear walls are often part of lateral...
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Spring 2021
The development of the modern transistor has sparked a technological revolution which has flourished for the past 70 years. Advancements in transistor design and fabrication have allowed for their continued shrinking in size and increase in operation speed. With the continued reduction in size...
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Computational psychiatry: machine learning for clinical decision support in the treatment of major depression
DownloadFall 2019
The goal of this thesis is to contribute to the fields of data-driven medicine and computational psychiatry by attempting to demonstrate the viability of machine learning for use in psychiatry, specifically in predicting treatment outcomes for major depression. This is attempted in four ways: ...
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Fall 2022
Imperfect information games model many large-scale real-world problems. Hex is the classic two-player zero-sum no-draw connection game where each player wants to join their two sides. Dark Hex is an imperfect information version of Hex in which each player sees only their own moves. Finding Nash...
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Data-Driven Approaches to Modeling Heterogeneity and Variability Across Asymptomatic Brain and Cognitive Aging, Mild Cognitive Impairment, and Alzheimer’s disease
DownloadSpring 2024
Objective We apply data-driven approaches to identify predictors of heterogeneous trajectories across normal aging, Mild Cognitive Impairment (MCI), and Alzheimer’s disease (AD). In Study 1, we investigated predictors of left and right hippocampal (HC) volume trajectory classes. In Study 2, we...
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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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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...