Master Theses & Projects: Recent submissions
Now showing items 61-80 of 326
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Peer evaluation with graph neural networks
(2021-12-01)Peer assessment systems are rising in various social contexts, such as peer grading in large (online) classrooms, peer review in conferences, peer art evaluation, etc. However, peer assessments might not be as accurate as ... -
Identifying metabolic indicators of phytoplankton and comparing the temporal changes in algal community composition in two Lake Ontario areas of concern
(2021-12-01)Freshwater algal blooms transition into harmful algal blooms (HABs) when cyanobacteria produce toxins that impact ecosystem health. The point at which algal blooms transition into HABs is not fully understood, but I believe ... -
Determining the differences in effect of chromate, chromite and chromium picolinate in rainbow trout (Oncorhynchus mykiss) at environmentally relevant concentrations
(2021-11-01)The Ring of Fire is a region in the James Bay Lowlands of northern Ontario that houses a rich deposit of chromite and is slated for mining development. The goals of this study were to better understand the relative effects ... -
Forensic electrochemistry: time since deposition (TSD) estimation of degrading bloodstains using differential pulse voltammetry
(2021-12-01)Methods for bloodstain time since deposition (TSD) estimation are still in development. Hemoglobin (Hb) oxidative changes remain one of the primary means of bloodstain aging. This research explores the use of differential ... -
Characterizing blood plasma proteins from organ tissue in rainbow trout (Oncorhynchus mykiss) using a non-targeted proteomics approach
(2021-12-01)Protein expression patterns adapt to various cues to meet the needs of an organism. The dynamicity of an organism’s proteome can therefore reveal information about an organism’s health. Proteome databases contain limited ... -
Automatic knobs-tuning for DB2 using deep reinforcement learning
(2021-12-01)Modern database management systems have hundreds of different configuration parameters (knobs) that control various aspects of how they behave and perform. These knobs must be properly tuned in order to maximize the ... -
Modelling calcite dissolution in a rotating disc reaction vessel
(2021-06-01)The carbonate system is ubiquitous in nature, playing a role in many natural and industrial processes. For calcite dissolution, the kinetics and mass transport of the dissolved species reflect both the chemistry of the ... -
Assessing the influence of geological and land-use gradients on zooplankton and phytoplankton biodiversity in the land between ecotone
(2021-11-01)The Land Between (TLB) is an ecotone in south-central Ontario that represents a transition from limestone-dominated bedrock to granite-dominated bedrock, creating notable calcium and land-use gradients across this unique ... -
Implicit gaze interaction for information visualization
(2021-08-01)This thesis presents a novel marker-free method for identifying screens of interest when using head-mounted eye-tracking for visualization in cluttered and multi-screen environments. The presented approach offers a solution ... -
Empirically detecting colour: can we use solar cells as colour sensors?
(2021-08-01)The purpose of this thesis was to explore the possibility of using solar cells as a colour sensor. Colour sensors already exist, yet they are either costly or fail at correctly sensing monochromatic light. Our experiment ... -
Refining adverse outcome pathways using Japanese Medaka Embryos (Oryzias latipes) exposed to 2,3,7,8-Tetrachlorodibenzodioxin
(2021-08-01)Adverse outcome pathways (AOPs) are a framework that categorizes the impact of chemicals biologically from the initial molecular interaction through to the ecosystem level. This research aims to refine two existing AOPs ... -
Determining the effects of harmful algae blooms and their toxins on fish from both environment and laboratory-based studies through the use of proteomics
(2021-01-01)The effects of harmful algae blooms (HABs) on wild, freshwater, large-bodied fish have been under examined. Blood samples were collected from fish in Hamilton Harbor and Lake Erie to assess the effects of HABs on a molecular ... -
Conductive Si doped metal oxide fuel cell catalyst supports: understanding the role of Si content
(2021-08-01)Current proton exchange membrane fuel cell (PEMFC) catalysts commonly use platinum supported on carbon (Pt/C) which is susceptible to corrosion, thus a highly conductive and stable Ti3O5 doped by Si (TOS) conductive metal ... -
SegmentPerturb: effective black-box hidden voice attack on commercial ASR systems via selective deletion
(2021-08-01)Voice control systems continue becoming more pervasive as they are deployed in mobile phones, smart home devices, automobiles, etc. Commonly, voice control systems have high privileges on the device, such as making a call ... -
Simulating a virtual drilling task using audio, visual, and mouse movement cues during the COVID-19 pandemic
(2021-04-01)This work examined whether a real-world drilling task can be successfully simulated using combinations of appropriate audio, visual cues, and basic haptic stimuli obtained with mouse movements instead of a haptic device. ... -
Automatic fall risk detection based on imbalanced data
(2021-08-01)In recent years, the declining birthrate and ageing population have gradually brought countries into an ageing society. In regards to the accidents that occur amongst the elderly, falls are an important problem that quickly ... -
Assessing the memorability of familiar vocabulary for system assigned passphrases
(2021-08-01)Text-based secrets are still the most commonly used authentication mechanism in information systems. Initially introduced as more secure authentication keys that people could recall, passphrases are tokens consisting of ... -
Evolutionary multi-objective design of autoencoder for compact representation of histopathology images
(2021-08-01)Deep learning can cope with complex tasks; however, it suffers from the crucial problem of high dimensionality which makes it intractable to learn the patterns and classify the data. Importantly, having a fixed model cannot ... -
Enhanced knowledge distillation by auxiliary classifiers
(2021-08-01)Deep neural models have shown promising results in various areas, e.g., computer vision and natural language processing, at the cost of high computation and storage resource consumption. These characteristics of deep neural ... -
Group representation learning for group recommendation
(2021-01-01)Group recommender systems facilitate group decision making for a set of individuals (e.g., a group of friends, a team, a corporation, etc.). Existing group recommendation methods mostly learn group members' individual ...