Advanced analytics and predictive statistics in continuous flow sports.

Hockey has long been shown to be among the least predictable of all professional sports. Recent developments in data collection methods have created the demand for more detailed and advanced predictive modelling techniques to extract value from and apply the data to real world problems. This project focuses on predicting important outcomes in hockey at […]

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WP 2.1.2: Advanced, Intelligent, Analytics Driven Apps for Software Defined and Functionally Virtualized Networks

Networks are moving towards being adaptive. This means that automation will be used to replace processes which are today highly manual. This project proposes a development of knowledge in the area of algorithms required to enable adaptive networks. The project will train two PhD students to understand optical networks and devise optimization algorithms in the […]

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Assessment of Climate Change-induced Geohazards for Ice-clad Canadian Volcanoes and Mountains

In Canada’s mountains, climate change is leading to the retreat of glaciers, permafrost thawing and accelerated snowmelt. These factors contribute to a significant increase in slope stability hazards and the risk of landslides, placing numerous communities and critical infrastructure at risk. Volcanoes are particularly vulnerable as they are commonly hydrothermally altered and weakened, thereby compounding […]

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Technology innovations in Wheelchair Sport measurement and analysis

This project will assess the game demands of wheelchair court sports. While this has been attempted in the past, new methods using inertial measurement units (IMU) allow each push to be identified and offer new ways to analyze these game demands and connect them to key performance metrics. With the help of Own the Podium, […]

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Characterization and Pelletization of Western Red Cedar Residue

The key objective of this research is to test the Refuse-Derived Fuel supplied by ICC and investigate parameters involved in making durable pellets from these residues. This will include conducting a series of pelletization tests with different mixture recipe, pre-conditioning of material as well as adding binders. The produced pellets will then be tested for […]

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Toward a Cross-Cultural Ethics for Human-Caribou Engagement

This project will use ethnographic and community-based participatory research methods to develop a cross-cultural, community-driven ethical model for caribou research, management, and conservation in and around La Ronge, SK. The project will contribute to caribou work already underway between the partner organization, Prince Albert Model Forest (PAMF), and Lac La Ronge Indian Band (LLRIB), e.g. […]

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A Mitacs Applied Research Proposal for Teck Resources: Leveraging Non-Technical Risk (NTR) Evaluation Best Practices to Improve Decision Quality

This work aims to take the academic research one step further to customize recommendations based on academic research findings on the identification and valuation of non-technical risks. It aims to improve the operationalization of the corporate strategy in the investment decision criteria guideline that involves both risks to the projects and risks to the people.

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Establishment of gut microbiota and impact on host immune function with early-probiotic supplementation in neonate calves

The neonatal and pre-weaned periods are the most challenging in dairy production, resulting in the highest mortality and morbidity rates, with diarrhea proving the most common cause of calf health problems. In order to treat and control this diarrhea, producers often rely on antibiotic therapy. An alternative is to provide living microorganisms (probiotics) that minimize […]

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Characterization of a new ion source for mass spectrometry

Characterization of the energy distribution of ions generated by the plasma in an Inductively Coupled Plasma Mass Spectrometer (ICP-MS) instrument is necessary for a new ion source in that it influences the ion sampling process, transmission efficiency, focusing, and mass analysis in ICP-MS. These energy distribution phenomena are also analogous to the ion beam that […]

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Evaluate effect of chemical compounds on plants using statistics and machine learning

To understand the effects of various substances on plants in terms of yield and disease severity (phytopathology), we need to evaluate both statistical significance and biological relevance when conducting biological experiments. Biological relevance refers to the nature and size of biological changes or differences seen in studies that would be considered relevant, while Statistically significance […]

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Technology transfer of bioenergy systems for remote communities

The goal of this research is to use the developed information around the technical, economical and social political challenges for the implementation of small-scale bioenergy systems in remote indigenous communities in Canada. The targeted outcome creates a multi faceted model to evaluate the success and impact of future installation with less input factors to simplify […]

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