Automated transaction classification using machine learning algorithm

The procurement process of an organization is key to understand company costs. Organizations gather large amounts of data coming from different sources (e.g. income statement, balance sheet, general ledger lines). This information is heterogeneous in nature as it is a mix of unstructured and structured data. Moreover, it needs to be cleaned and consolidated in […]

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The Effective Knowledge Transfer of Novel Approaches to Understanding and Addressing the Risk Factors for Cognitive Fatigue in Wildland Firefighting Settings

Given the increased risk to fatigue in fire zone dispatchers working in wildland fire settings, and the lack of scientific literature about this topic, the purpose of this study is to create evidence-based knowledge translation tools to help address and reduce the risks for cognitive fatigue and poor decision making in wildland firefighting settings. These […]

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Cumulative Environmental Effects from Unconventional Oil and Gas Activity in the Liard River Watershed: Greenhouse Gas Emissions, Freshwater Extraction, and Risk of Cross-Contamination

The Liard River Watershed covers 275 000 square kilometres in Northeastern British Columbia. This vast area is increasingly being developed for its underlying shale gas resources using hydraulic fracturing (“fracking”). However, there are few studies investigating the environmental impacts of such activity in this vast area. Fossil fuels and freshwater are two of Canada’s most […]

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Faster on the bobsleigh race track

The intern will support the Canadian Bobsleigh Team in its efforts to reduce ice friction between a bobsleigh and the race track. Therefore, a numerical heat transfer model will be developed, and novel procedures to attain the smoothest possible runner surfaces will be researched. Furthermore, we will apply concepts underlying lubrication theory to runner surfaces […]

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Development of an infrastructure for AAL technology data exchange to inform policy and governance guidelines

The UbiLab and the CSA Group are collaborating on the development of a roadmap for a data integration infrastructure that will enable Ambient Assisted Living technology to share data at a wider scale. The current technology landscape has resulted in manufacturers of Internet of Things and Ambient Assisted Living technologies generating siloed data that provide […]

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Application of Neural Speech Synthesis Techniques to Improve Lyrical Audio Recordings

2012 marked a pivotal milestone in the field of neural networks. The intersection of general purpose computing using Graphics Processing Units (GPUs), labelled big datasets, and very large neural networks (called deep neural networks) enabled a break-through in machine learning that has led to impressive results in many fields and applications, such as self-driving vehicles […]

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Increasing Value: How Best to Recognize and Reward Fish Harvesters and Communities in Newfoundland and Labrador for Sustainable Fisheries Practices

In 2015, Canada exported $6 billion in fish and seafood. Fishing is important not only economically, but also socially, and environmentally. In order to have seafood now and into the future, sustainable development of the fisheries is important. One way to make sure that fishing is being done in this way, is to recognize and […]

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Investigation of turbulent three-phase flows in the FLSmidth nextSTEPTM flotation cells using CFD-PBM-kinetic simulation framework

The proposed research is aimed at both understanding and improving the flotation equipment design through the development and application of comprehensive multiphysics platform, which has the potential to create more accurate, fundamental basis for modeling, optimization, and scale-up of industrial flotation processes, based on physics rather than empirics and intuition. The objective of this research […]

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Stability of a commercially available phytase enzyme product during pelleting

Enzymes play an essential role in the animal nutrition industry and are used to increase the nutritional value of feedstuff, resulting in improved production cost, feed efficiency, and animal performance. Many manufacturers choose to pelleting feed, for reasons such as increased feed intake and feed efficiency. However, many enzymes become deactivated when exposed to the […]

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Sparse Multivariate Polynomial Factorization

Factoring large polynomials is one of the main tools provided by mathematical software packages like Maple. It is used by scientists, engineers and mathematicians directly to simplify and study large formulas. It is also used inside Maple to do other tasks such as solving systems of polynomial equations. This project proposes to dramatically improve the […]

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Investigation of Pet Owner Diets and Feeding Practices for Dogs and Cats

The role of companion animals has evolved over the years of their domestication from that of purely utilitarian hunting or working partnerships to a relationship now more closely resembling that of a family member. Unsurprisingly, trends in companion animal nutrition have begun to closely shadow trends in human nutrition, reflecting the desire of pet owners […]

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