Browsing Doctoral Dissertations by Title
Now showing items 41-60 of 71
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Influence of dietary interventions on the immune system: an investigation of the impact of omega-3 fatty acids, dietary fermentable materials and high energy diets
(2016-12-01)Dietary interventions vary in ability to influence immune activity. Separate investigations were conducted to determine the immune impact of omega-3 fatty acids, dietary fermentable materials (DFM) and high energy (HE) ... -
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, ... -
Investigating the distribution of Nitellopsis obtusa in Ontario Lakes and its role as an ecosystem engineer
(2021-08-01)Nitellopsis obtusa is a non-native macrophyte introduced into the Laurentian Great Lakes in 1974. Over the last decade, increasing reports emerged for N. obtusa within lakes in the Great Lakes Basin. Despite N. obtusa being ... -
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 ... -
Mechanisms by which exercise promotes cognitive function in both depressed and non-depressed individuals
(2017-12-01)Major depressive disorder (MDD) is a debilitating disease characterized by low mood, memory deficits, poor sleep quality and alterations in biochemical markers associated with neuroplasticity. Less than half of MDD patients ... -
A method to detect and represent temporal patterns from time series data and its application for analysis of physiological data streams
(2020-03-01)In critical care, complex systems and sensors continuously monitor patients’ physiological features such as heart rate, respiratory rate thus generating significant amounts of data every second. This results to more than ... -
A mixed-method approach to analyze the robustness of natural language processing classifiers
(2021-04-01)Natural language processing algorithms (NLP) have become an essential approach for processing large amounts of textual information with applications such as spam, phishing and content moderation. Malicious actors can craft ... -
The modification of fuel cell-based breath alcohol sensor materials to improve water retention of sensing performance
(2016-03-01)Fuel cell based breath alcohol sensors (BrASs) are one of the most important tools used by law enforcement today. While these devices are used globally, they all suffer from a common deficiency: reliance on water. The ... -
A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration
(2021-07-01)Modular is a web-based annotation, visualization, and inference software plat-form for computational language and vision research. The platform enables researchers to set up an interface for efficiently annotating language ... -
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 ... -
Monolayer terpyridyl metal complexes for high-efficiency electrochromic materials
(2021-08-01)Electrochromic materials (ECMs) can change their color with changes of applied electrochemical potential. Currently, the use of ECMs in the industry is limited to mainly inorganic metal oxides, conjugated conducting polymers, ... -
Muscle fatigue and other factors influencing forearm muscle activity
(2020-08-01)The wrist extensor muscles of the forearm exhibit relatively greater muscle activity than the wrist flexors during most hand/wrist tasks. Since the extensors operate at a greater percentage of maximum to balance wrist joint ... -
Nanostructured materials for photovoltaics and microwave electronics: methods and applications
(2017-04-01)Nanoscale particles and thin layers are today used for a variety of applications to make industrial products lighter, stronger or more conductive. This study investigates synthesis, characterization and application of ... -
On deep learning in physics
(2021-04-01)Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ... -
On the potential of intent-based access control (IBAC) in preventing insider threats
(2015-11-01)Existing access control mechanisms are based on the concepts of identity enrollment and recognition, and assume that recognized identity is synonymous with ethical actions. However, statistics over the years show that the ... -
Opportunities for the deep neural network method of solving partial differential equations in the computational study of biomolecules driven through periodic geometries
(2022-08-01)As deep learning emerged in the 2010s to become a groundbreaking technology in machine vision and natural language processing, it also ushered in many new algorithms for use in scientific research. Among these is the neural ... -
A privacy preservation framework for smart connected toys
(2019-09-01)Advances within the toy industry and interconnectedness have resulted in the rapid and pervasive development of Smart Connected Toys (SCTs), built to aid children in learning, socialization, and development. A SCT is a ... -
Secure and privacy-preserving fog-assisted vehicular crowdsensing
(2018-08-01)Vehicular crowdsensing (VCS) is an emerging paradigm where vehicles use onboard sensors to collect and share data with the aim of measuring phenomena of common interest. VCS has allowed for automated control as well as ... -
A secure and privacy-preserving incentive framework for vehicular cloud
(2018-04-01)Vehicular Cloud Computing (VCC) plays a critical role in data generation where a large number of vehicles collect various kinds of sensing resources with large-volume features. While the information that should be collected ... -
A study of password recall, perceived memorability, and strength using BCIs
(2018-04-01)Passwords are considered the most common method of authentication and studies are frequently conducted to understand users' password habits. In this thesis, we run two empirical studies that provide information to further ...