Companies can realize the cost-saving benefits of having access to large amounts of data provided they have digital tools that allow efficient and accurate extraction of information from the dataset. The goal of this project is to conduct the research required for machine learning algorithms to provide reliable engineering predictions for industrial applications. To achieve […]

Heart Lake Road (Brampton, Ontario) bisects a Provincially Significant Wetland. Increases in traffic volumes on the road have led to large numbers of road kill during the spring migration. The TRCA has been monitoring the road kill for two years and has found that thousands of frogs and toads as well as hundreds of turtles, […]

Sleep is a central function of many species, and is studied widely in neurophysiology and computational neuroscience, yet its underlying mechanisms remain elusive. The common method for recording brain activity during sleep is polysomnography (PSG) which is expensive to operate and can prove to be heavy and bothersome for the recording subjects. In recent years, […]

A new minor ailment prescribing service was recently launched in Ontario community pharmacies to relieve healthcare system strain. Five of the nineteen minor ailments are skin-related. Importantly, prescriptions for topical skin disease treatment vary widely and constitute a major reason for visits to primary care. Quality prescribing in this area improves outcomes and reduces healthcare […]

Les ressources en eau subissent des pressions croissantes mondialement en raison du changement climatique, de l’agriculture intensive et de la croissance démographique. D’ici 2050, la majorité des bassins versants pourraient être en situation critique et il devient crucial de développer des outils pour en faire le diagnostic. Dans les Basses-Laurentides, le bassin du Ruisseau Rousse […]

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This scoping review will explore the research base of the intersections of peer support training and implementation. The partner organization will benefit from this project as it will form the foundation of a longer-term goal of developing a training module for early psychosis peer support workers.

The goal of this project is to incorporate AI to complement and upgrade existing functions in myTE. We plan to invest in 3 features: thematic analysis, data interaction and web analytics. In our current version, myTE compiles all comments in learners’ feedback and presents them in their original form to the users. Using AI, the […]

Stroke, a leading global cause of death and disability, often results from the rupture of dangerous fatty deposits, known as plaques, in the neck arteries. The current method of assessing stroke risk using 2D ultrasound is limited by operator dependency and lacks a 3D structure assessment, leading to misdiagnoses and re-scans. Our project aims to […]

This project aims to enable controllable generation of expressive, speech-driven facial animation in video games and multimedia. Current methods use procedural tools to animate mouth movements given speech clips, but they lack realism. This research proposes to develop a new approach for controllable speech-driven facial animations, combining the realism of recent mesh deformation methods with […]

L’alimentation durable est une composante essentielle de l’économie visant à un développement apte à répondre aux besoins du présent, sans compromettre la capacité des générations futures à répondre aux leurs. Pour ce faire, l’alimentation durable préconise la consommation de produits locaux et, en ce qui concerne les produits maraîchers, cultivés dans le respect de l’environnement. […]

This research focuses on the development of machine learning and natural language processing techniques for automated textual dialog systems called chatbots. More specifically, we will develop algorithms to allow chatbots to adapt to new topics and concepts in open ended domains. We will also develop algorithms to recognize the emotions of users through their text […]