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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Satellite Monitoring and Surveillance of Habitat for Right Whales

The critically endangered North Atlantic Right Whale resides in waters with busy shipping lanes in the Bay of Fundy and the Gulf of St. Lawrence, where incidents of ship strikes have proven to be a primary cause of whale death, resulting in their numbers dwindling to less than 400. Though the implementation of speed limits […]

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Assessing Data Sources for a Social-Ecological Model of a Recreational Fishery

BC’s rainbow trout fishery consists of over 800 lakes, fished by hundreds of thousands of anglers across the province. It provides some of Canada’s best fishing, but there are key processes occurring that fishery managers can not account for with current approaches. Researchers and managers have created a new management tool that would allow decision […]

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Physics-enhanced machine learning to optimize a state-of-the-art manufacturing process

We are bringing together modern techniques in Bayesian machine learning to optimize process parameters for a state-of-the-art semiconductor fabrication process. The challenge is that while the process contains complex underlying dynamics and some degree of stochasticity, there are a large number of process parameters and a small number of samples to use for model training […]

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Differentially private models for detection of previously seen data

Jumio is constantly facing fraudulent attacks of repeated nature when a series of similar images with minor changes are submitted. To be able to respond effectively it is necessary to be able to learn previously seen fraudulent data. At the same time we have to deal with very sensitive private data and therefore it’s becoming […]

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Zipstall – On-line and Off-line Parking Availability Prediction

Searching for parking has many terrible impacts, such as wasted time, fuel, and emissions, overpaying for parking etc. To ease the pain of parking, the goal of this project is to develop a method of collecting information from multiple sources (crowd-sourced information from parkers, active paid session information from managers/parking enforcement, and availability information from […]

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Évaluation d’un acidifiant alimentaire chez le poulet de chair

La demande pour les produits de consommation sans médicament est en croissance constante. Cependant, certaines infections communes chez le poulet de chair affectent la santé et la production, exigeant l’utilisation d’alternatives aux médicaments. Parmi ces infections communes, la coccidiose aviaire engendre des pertes économiques considérables pour les producteurs. Pour l’instant, les alternatives efficaces aux anticoccidiens […]

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Eco-efficiency Evaluation of Cybersecurity Solutions

Industries around the world have been leaning towards cleaner solutions to mitigate their environmental footprint. IT is one industry that has been rapidly growing during the recent past. Hence, it is important to enhance the environmental performance of IT solutions through a life cycle thinking lens. Eco-efficiency evaluation enables analyzing the environmental and economic performance […]

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Deep learning models for compound design

Traditional drug development strategy is costly, tiresome, and labor-intensive. In the last decade, artificial intelligence (AI) technologies have shown promising results to overcome some of these limitations. However, these computational technologies still cannot efficiently generate novel drugs with expected properties for treating specific diseases. Here we will apply new generation of AI frameworks to design […]

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