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Now showing items 21-30 of 46
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Extending the relational model with constraint satisfaction
(2021-01-01)
We propose a new approach to data driven constraint programming. By extending the relational model to handle constraints and variables as first class citizens, we are able to express first order logic SAT problems using ...
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 ...
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. ...
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 ...