Effective Forest Management in Areas Impacted by Emerald Ash Borer

Emerald ash borer (EAB) is an invasive insect from Asia that was detected in Ontario in 2002 and has caused severe declines in ash trees. EAB is able to kill a healthy ash tree in 3-4 years and has caused declines of up to 99% in some areas 8-10 years after arriving. Although there is […]

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Identifying forests with old growth potential in the Credit River Watershed

Old growth forests provide important ecological services including carbon storage and habitats for a diverse array of species, yet they are often rare across the landscape. These forests are often challenging to identify due to the lack of concrete definitions of what constitutes old growth, as well as the lack of understanding of the typical […]

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A comparison of the geology of stratabound high grade V, Ni, Mo, and PGE mineralization at the Rod property Yukon Territory and other highly metalliferous shales in Yukon and China.

In this project the intern will preform detailed geological mapping and where available drill core logging at a series of sites of known highly metalliferous shales in the Yukon Territory and Northwest Territories. This will be followed by detailed reflected and transmitted light optical microscopy. Select samples will be further analysed using scanning electron microscope. […]

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Preserving Affordable Rental Housing: Tenant Opportunity to Purchase, Housing Cooperatives, and Land Trusts

Housing is becoming increasingly unaffordable in Canadian cities and tenants are struggling. Financialized landlords and other investment companies are depleting the affordable rental stock in the private market much faster than new social rental units are being created. One solution is for tenants to have the opportunity to collectively purchase their own buildings when landlords […]

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Speech enhancement and recognition with generative adversarial network

While taking foreign language tests, people may record responses with different background noises. The contaminated audios can lead to unusual results in speech recognition and scoring by the scoring systems. Pearson would like to develop a more robust system for the automated speech recognition machine to work with clean and noisy records. Audio files are […]

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Cloud platform for machine learning

Surgical Safety Technologies aims to provide healthcare professionals with the opportunity to perform research in areas of surgical performance and education and implement evidence-based solutions to improve patient safety. Search on video content would an ideal functionality to assist with healthcare professionals’ research. This project uses computer vision model to rank the relevance of the […]

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Convolutional Neural Network for Demand Forecasting

Many retailers are interested in forecasting demand for the products they sell. Deloitte has used machine learning methods to tackle this problem in the past. However, this requires the creation of hand-crafted features based on product sales data, which is a costly and time-intensive process. Using alternative models to perform this task would remove the […]

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Persuasive technology – Guidance to Virtual Relationship Manager (VRM) for effective sales effort basis voice data mining

Voice of the Customer (VoC) is how companies hear and listen to customer feedback about their brand, products, and services. Voice of the Customer solutions convert gathered feedback into valuable data and insights at scale. Data-driven VoC analytics programs are proven to increase customer lifecycle value and lower customer churn. Companies in various industries including […]

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