Faculty of Science: Recent submissions
Now showing items 21-40 of 423
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Developing an elevated temperature Pourbaix diagram for zirconium and multi-element Pourbaix diagram of Zircaloy-4
(2023-08-01)Zirconium and Zircaloy-4 are used in applications that require corrosion resistance under extreme conditions. For example, the fuel bundles in coolant systems of CANDU™ reactors operate between 533 to 583K (260 to 310 °C). ... -
Scalable subgraph representation learning through simplification
(2023-06-01)Link prediction on graphs is a fundamental problem. Subgraph representation learning approaches (SGRLs), by transforming link prediction to graph classification on the subgraphs around the links, have achieved state-of-the-art ... -
Subgraph classification through neighborhood pooling
(2023-06-01)Subgraph classification is an emerging field in graph representation learning where the task is to classify a group of nodes (i.e., a subgraph) within a graph. Graph neural networks (GNNs) are the de facto solution for ... -
Depletion induced bundling of rod-like colloids and simulations of triple helix bundles
(2023-06-01)We ran molecular dynamics simulations of rod-like colloids acting under depletion forces. In these simulations, we found bundling of the rods above a given strength of the depletion force. We then analyzed the bundle ... -
Error estimation for single-image human body mesh reconstruction
(2023-05-01)Human pose and shape estimation methods continue to suffer in situations where one or more parts of the body are occluded. More importantly, these methods cannot express when their predicted pose is incorrect. This has ... -
An optimization-based approach to image fusion using structural similarity
(2023-05-01)This thesis examines a framework for solving optimization problems involving structural similarity index measure Mean. Image fusion involves combining multiple images to preserve their most desirable characteristics. The ... -
Investigation into potential Dirofilaria immitis drug targets through rational anthelmintic synthesis and design
(2022-04-01)Dirofilaria immitis is a mosquito-transmitted parasitic nematode that can cause debilitating disease in dogs. D. immitis is present in Canada and over the years has increased in prevalence due to several factors including ... -
Palatable game development: lessons learned from Foodbot Factory, accessibility, and audio games
(2023-04-01)To address a lack of serious game work focusing on the development itself, this thesis describes recommendations for developers based on the development of Foodbot Factory, a nutrition-based serious game. Additionally, to ... -
Java lock contention antipatterns and their detection within Java code
(2023-04-01)Java Based Multithreaded programs are used in a wide variety of applications and consequently many developers are required to create code designed for synchronized environments. However, finding problems in synchronized ... -
Towards deep learning models for automatic computer program grading
(2023-04-01)Automatic grading of computer programs has a great impact on both computer science education and the software industry as it saves human evaluators a tremendous amount of time required for assessing programs. However, to ... -
Leveraging vehicular cloud computing through location and request prediction
(2023-04-01)In recent years, the implementation of Vehicular Ad-hoc networks (VANET) has been acknowledged as a promising solution for monitoring road conditions. Despite the many benefits they can bring to society, the growing demand ... -
Performance assessment of Au SERS substrates prepared by deposition of Au nanoparticles on screen-printed SiO2 particle films
(2023-02-01)Surface-enhanced Raman spectroscopy (SERS) is a highly studied technique for simple and rapid trace analysis. Screen-printing, a low-cost fabrication method, has been proposed as a reproducible and affordable approach for ... -
Metabolic, neurotoxic and immunotoxic effects of PFAAs and their mixtures on the proteome of plasma and head kidney from rainbow trout
(2023-03-01)PFAAs (Perfluoroalkyl acids) are a class of bioaccumulative, persistent and ubiquitous aquatic contaminants. A paucity of toxicological information exists for short chain PFAAs and PFAA mixtures. In order to address these ... -
Transformer-based models for answer extraction in text-based question/answering
(2023-04-01)The success of transformer-based language models has led to a surge of research in various natural language processing tasks, among which extractive question-answering/answer span detection, has received considerable ... -
Optimizing relational search with embedded neural network
(2023-04-01)Our research focuses on a novel method to query relational data. We propose the partial tuple search problem where a user can utilize keyword search to explore complex relational datasets. The challenge of evaluation of ... -
Integrated traffic analysis and visualization for future road events
(2023-04-01)The existing traffic simulation methods are limited to specific synthetic scenarios. In addition, the natural structure of traffic and accident data requires modeling the dependent observations on multiple levels. Therefore, ... -
Raising the bar for password crackers: improving the quality of honeywords with deep neural networks
(2022-12-01)Honeywords are fictitious passwords inserted into databases in order to identify password breaches. Producing honeywords that are difficult to distinguish from actual passwords automatically is a time-consuming and ... -
Agent-based modeling framework for adaptive cyber defence of the Internet of Things
(2022-12-01)The adoption of the Internet of Things (IoT) continues to increase significantly, introducing unique challenges and threats to cybersecurity. In parallel, adaptive and autonomous cyber defence has become an emerging research ... -
Molecular dynamics simulations and neural network solutions for applications in biophysics
(2022-12-01)As computing resources evolved and became more accessible over time, much of scientific research shifted towards utilizing computational techniques. In particular, biophysics is a field of science that has continually ... -
Virtual machine detection through Central Processing Unit (CPU) detail anomalies
(2022-12-01)Malware analysts commonly use virtual machines to provide safe environments to study malware. Malware authors in response, include virtual machine detection functions in their malware so it changes its behavior should a ...