Environmental variability is a fundamental component of adaptation; it is usually associated with modifications in the organism’s observable traits, particularly for those with limited plasticity. We will use a bioenergetic model as a framework to understand this variance in the organism’s traits. We will focus on the effect of individual physiological differences, which are represented […]

The objective of the proposed research is to carry out numerical and experimental studies on the performance degradation of propeller blades in three different scales with leading-edge (LE) manufacturing tolerances. In the experimental studies, three single propeller blades in three scales (1:1, 1:2 and 3:4) will be tested in a cavitation tunnel. Flow velocities and […]

Home automation and smart devices offer the opportunities for consumers to save on costs. Furthermore, it is observed that home residents living in climates which require seasonal heating can achieve significant energy savings through thermostat adjustment. The aim of this project is to explore how smart thermostats track, control, and reduce electric resource consumption compared […]

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 […]

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) […]

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, […]

Machine learning algorithms are being used in a wide range of applications. It is a branch of computer science where the system can learn from the data and make decisions. Financial fraud is an increasing hazard in the financial industry, and it is important to detect a fraudulent transaction. Machine learning algorithms can be used […]

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 […]

Detection of financial fraud is a priority for financial institutions. There are a variety of techniques and models that can be used to address the problem of financial fraud. However, as fraudsters are becoming more inventive and adaptive, they have been able to penetrate the conventional protective methods. This is one of the main reasons […]

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 […]

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 […]

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. […]