Development, characterization and Life Cycle Assessment of Smart Marine Coatings

This research project will determine the associated greenhouse gas emissions associated with an environmentally friendly graphene-based coating to see how it compares with other marine coatings currently in industry. The developed methodology can be used in future life cycle assessments, as it will provide an innovative way of modelling graphene-based coating systems. GIT will benefit […]

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Exploring the Meanings of Participants’ Fly-Fishing Experiences and Its Impact on Active and Healthy Lifestyle

This exploratory study will utilize indirect calorimetry (the method by which the type and rate of substrate utilization, and energy metabolism are estimated), accelerometer-based technology, photo-elicitation interviews, focus-groups, and a subsequent large-scale survey to answer the following research questions: a) What is the energy expenditure of a typical fly-fishingday and its physical fitness requirement? b) […]

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Plant community responses to climate change in the northern boreal mountains

Globally, mountain regions (especially those at high latitudes) are undergoing rapid environmental change and plant communities are expected to respond by changing their locations or timing of flowering. Exactly how future plant communities in these regions will look and function is unknown but has important implications for local animals and human communities. Through this project, […]

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Detecting Credit Transaction Fraudulent Behavior Using Recurrent Neural Networks

Fraudulent activities are hard to detect, but they cost financial institutions millions of dollars in monetary losses and legal costs every year. Millions of dollars are being lost in credit transactions as criminals are finding new, more sophisticated ways to conduct financial crime. This research project examines novel ways of detecting fraudulent behavior using powerful […]

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Deep Fraud Detection

Financial fraud is a serious issue that is taking place globally and causing considerable damage at great expense. Statistical analysis and machine learning tools can help financial institutions detect different types of fraud. In some cases however, mislabeling and the cost of classification may actually increase the volume of ‘false positives’ for supervised methods. As […]

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Ovarian Cancer Research Program

Ovarian cancer has a high mortality rate and cannot be detected by screening. Strategies to decrease the burden of OC in Canada will need to improve the delivery of effective prevention, particularly risk-reducing surgery. This initiative is designed to execute three projects that focus on possible strategies to improve the effective delivery of evidence-based OC […]

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New Approaches to Mine Closure in Nunavik, Québec

Mine closure is the final stage of a mine’s lifecycle and can have complex social, economic, and cultural impacts on nearby communities. These impacts include population decline, reduced services, household stress, ecological change, and reduced access to land-based activities. These impacts become more likely when communities are not engaged with during the closure planning process. […]

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Industrial application of genomics derived biomarkers of salmon performance

The Atlantic salmon aquaculture industry is becoming a strategic economic sector for Canada. Aquaculture in Canada employs approximately 25,000 people with a total economic impact of over $5B. While farmed salmon is already Canada’s top aquaculture export, salmon aquaculture has significant capacity for growth in this country. Atlantic salmon farmed in sea cages on the […]

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