Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations […]

A review of current literature will be used to develop an enhanced record of knowledge on the topic of lost fishing gear in British Columbia; specifically looking at the socio-economic and ecological impacts, regionally applicable case study solutions, best practice framework recommendations, and current policies on environmental management of marine debris in Canada. Results will […]

Access to private or leased land is currently not a simple problem. Landowners would like to know who is on their land, when, and for what purpose. Getting permissions from landowners is often not a straightforward task which often leads to obtaining permission being bypassed. Some landowners do not want hunters, but do not mind […]

This study aims to evaluate and measure the impact of a Canadian produced documentary, I am Rohingya, A Genocide in Four Acts. By critically analysing the intended and unintended outcomes of this award-winning documentary, producers whose aim is to enhance their socially minded production process, can learn how to improve their techniques through feedback and […]

The Nanoose Economic Development Corporation (NEDC) represents the Nanoose First Nation, who harvest clams from the Nanoose Bay Recreational Shellfish Reserve. Clams are a culturally significant food source for the Indigenous peoples in these traditional lands, and the potential overharvesting of clams in this area may impose irreversible negative effects. By completion of a literature […]

Repeat photography is a valuable tool for evaluating long-term ecological change. Historical photographs used for repeat photography often predate conventional remote sensing data by decades, and the oblique perspective of the photographs capture details of the landscape absent in nadir imagery. To date, most approaches to quantifying landscape change using repeat photography have involved manual […]

Canada is the fourth largest barley producer and the second largest malt exporter in the world, representing billions of dollars in domestic and international sales. Typically, barley is utilized as animal fodder, as a nutritional supplement for healthy foods and is also used in the production of alcoholic beverages and distilled spirits. The ethanol produced […]

COVID-19 first emerged in China in December 2019, resulting in one of the worst pandemics of the modern history. To this date (June 2020), about 6 million people have been diagnosed with COVID-19 and more than 360,000 people have lost their lives to this novel disease. The cleaning and disinfecting protocols developed by the World […]

The speed and extent of the COVID-19 pandemic has challenged our abilities, as forecasters, like never before. Early data on the disease’s epidemiology is limited, records of cases and infections are incomplete, and the dynamics and scientific understanding of the disease are changing daily. Scientists from around the world have been quick to respond by […]

In the field of power electronics, one important goal is to make low power loss and super fast switching speed. In making this goal, GaN transistors are better choices than the conventional Si devices. In this project, we investigate the GaN technology design and details with simulation tools by Crosslight Software and testing data in […]

Training personnel to operate machinery in the construction workplace requires a major devotion of time, resources, and safeguards. Recent methods involving virtual reality and motion base simulators have drastically enhanced the training process, but some users of these new methods report sickness and discomfort. This research aims to remedy this issue with a theoretical and […]

The purpose of analyzing the different stages of sleep by means of functional connectivity metrics is due to the overwhelming unlikelihood of seizures occurring during REM sleep. The functional connectivity metrics are computational algorithms run on a computer that determine if the signal from one node is similar to another in any way. These nodes […]