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Spring 2021
Cavalcante Araujo Neto, Antonio
HDBSCAN* is a hierarchical density-based clustering method that requires a single parameter mpts, a smoothing factor that implicitly influences which clusters are more detectable in the resulting clustering hierarchy. While a small change in mpts typically leads to a small change in the...
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Application of Propensity Score Adjustment to Reduce the Survivorship Bias in Assessing Neurocognitive and Functional Outcomes of Children after Early Cardiac Surgery for Congenital Heart Disease
DownloadFall 2023
Adjusting for survivorship bias for neurocognitive and functional outcome using propensity score and k-means clustering methodDescriptionIn recent years, the number of congenital heart disease survivors has increased with cardiac detection and surgery and perioperative care improvements. However,...
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2022
With the easing of COVID-19 regulations in Alberta, people are gradually back to their normal life. However, we cannot be careless, since there is a possibility for a new variant. The technology could help to prevent the further spread of the pandemic. In addition, in terms of contact tracing,...
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Fall 2020
Wireless channel utilization prediction is useful in a number of applications, such as the recently proposed modalities of LTE networks allowing them to use unlicensed bands (LTE-U), otherwise used by Wi-Fi devices. Wireless utilization, as we are also able to also confirm, exhibits...
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Opportunities and Limitations of Using Melting Curve Dissimilarity to Determine Protein Interactions
DownloadFall 2022
Proteins are large biomolecules that perform many functions within an organism. Proteins frequently form interactions with other biomolecules. A group of proteins held together by interactions is known as a protein complex. Protein interactions are essential to many biological processes. Thus,...
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Fall 2024
Distribution learning has long been a key area of research in computer vision. However, the potential of combining distribution learning with deep learning remains underexplored. To bridge this gap, this thesis discusses two proposed methods. The first, Differentiable Arithmetic Distribution...