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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 ...
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 ...
Predictive analytics for maintenance activities in nuclear power plants: a feasibility study
(2021-12-01)
Nuclear power plants are known for their use of legacy systems and processes. As plants age, the amount of maintenance increases while resources remain finite, leading to unwanted delays, affecting the health of assets and ...
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 ...
Echo: reconstructing gameplay sessions for analysis
(2021-04-01)
We created Echo, a tool designed to help bridge the gap between game analytics and video footage analysis. Echo reconstructs gameplay sessions from recorded data and presents them with their original graphics. A comparative ...
Material properties and mechanical behaviour of large-scale additively manufactured multi-layered steels
(2020-03-01)
Metal Big Area Additive Manufacturing is an additive manufacturing technique based on gas metal arc welding. The systems’ dual nozzle design prints two steels simultaneously; in this study, the test samples are made from ...
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 ...
The World Trade Web: using network analysis and machine learning as tools for public policy decision-making
(2020-11-01)
The World Trade Web (WTW) contains a wealth of information that upon rigorous analysis can aid governments in public policy decision-making. In my attempt to provide this valuable input, this dissertation uses two main ...
Development and comparison of augmented and virtual reality interactions for direct ophthalmoscopy
(2020-10-01)
Direct ophthalmoscopy is a medical procedure whereby a health professional examines the back of the eye, searching for life-threatening risks. The direct ophthalmoscope is used for examining the patient and it requires ...
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 ...