Recently added works

This paper explores the use and benefits of Green Infrastructure in rural and small-town communities in Southwestern Ontario. 19 key informant interviews inform the qualitative findings that rural…

Cannabis (Cannabis sativa L.) plants are affected by many pathogens, including Golovinomyces spp., Fusarium oxysporum and Pythium spp. which cause severe losses to producers. Currently, there are a…

This act of endogenous education attempts to track my existential quest of how I can be of service to Education for (Re)conciliation. Through my hermeneutic inquiry I share how I have come to…

The main objective of this research is to develop single axis angular rate sensors that would be robust to variations in its operating voltage and frequencies. The sensors are developed to overcome…

An understanding of soil properties is fundamental to assessing the character of vegetation that soil will support. By relating field data on soil characteristics to topographic covariates derived…

The feasibility of using Multilayer Perceptron (MLP) to predict hydrogeologic units (HGUs) in complex glacial deposits is evaluated. The study area includes the Fraser-Whatcom Basin. Material…

In the coming century climate variability is projected to increase along the Pacific Coast of Canada, increasing the need for land managers to understand how ecosystems change in response to new or…

Human Cytomegalovirus cytomegalovirus (HCMV) can infectcauses intrauterine infections, which pregnant women, can lead toresulting in perinatal mortality and or deafness in the surviving infants. A…

Cryptomarkets are marketplaces on the dark web that facilitate the sale of, mostly illicit, goods and services between vendors and buyers. There were few to no studies that examine the cryptomarket…

As people often account for a large proportion of our daily visual content, understanding human images is an important problem in computer vision, which impacts many applications ranging from human-…

Fat people are highly represented on reality television. Informed by dominant "obesity" discourses, these representations have framed fat people as inhabiting abject and unruly bodies (…

Due to the remarkable evolution of machine learning models over the last number of years, computers are now "looking into" image and video to understand scenes on behalf of humans. Most…

Optical coherence tomography (OCT) allows for the cross-sectional visualization of the retinal microvasculature and may benefit clinicians in their management of retinal diseases, such as diabetic…

Alzheimer's Disease (AD) or Dementia of Alzheimer's type (DAT) is a complex neurodegenerative disorder that accounts for 60% to 80% of all dementia cases. Because there is currently no cure…

Food loss is a systemic problem contributing to negative environmental, social, and economic impacts. Digital agriculture technologies (DAT) such as farm apps may provide a useful method for…

This thesis explores strategies for negotiating meaning in X̱aad Kíl (Northern Haida) through transcription and translation of approximately one-and-one half hours of audio and audio-video recorded…

Birds adjust flight speed according to their circumstances, and as such avian flight is a behavioural attribute rich with ecological implications. Flight mechanical theory enables the power…

Cyber attacks are becoming more sophisticated and, hence, more difficult to detect. Using efficient and effective machine learning techniques to detect network anomalies and intrusions is an…

Estimating future sea-level rise requires ice sheet models that are able to accurately simulate the evolution of ice sheets and glaciers. Ice flow behaviour is sensitive to terminus position and…

High-level synthesis (HLS) compilers enable the rapid creation of custom accelerator circuits. However, HLS-generated RTL (H-RTL) is inconsistent in terms of quality, too verbose to be comprehensible…