Ce projet vise à mettre au point des techniques inédites pour résoudre le problème de faire de l’assemblage complexe avec un robot collaboratif. Dans le domaine industriel, les lignes d’assemblage sont composées de robots industriels. Les trajectoires que doivent faire ces robots sont calculées et codées minutieusement. Des senseurs particuliers sont installés, sans compter l’infrastructure […]

Alfalfa forage is the queen of forage in Canada, both for its nutritional value and for its global distribution across Canada; however, its weakest feature is poor winter survival and persistence. This parameter is affected by a multitude of environmental and management factors making it difficult to understand the reasons for this low persistence. This […]

Alfalfa forage is the queen of forages in Canada, both for its nutritional value and for its global distribution across Canada. However, alfalfa yield and nutritive value are affected by multiple environmental and agronomic factors. The interaction among all of those factors makes it difficult for producers and field advisors to determine which of these […]

The purpose of this project is leverage Machine Learning technology to develop and test effective trading strategies in order to properly hedge an investment strategy. Hedging is an integral part of the investment process and allows portfolio managers to protect their positions against any adverse change in asset prices. As it is a task that […]

Market makers facilitate trading in electronic financial markets by simultaneously offering to buy and sell the same asset at any given time. Their role is to provide price stability and increase market liquidity to improve its overall efficiency. Digital assets markets are extremely fragmented and present both challenges and opportunities for market makers. These latter […]

Burdened by aging infrastructures, urbanisation and climate change, municipalities are seeking innovative solutions to address urban water management. To mitigate flooding, riverbank erosion as well as stormwater-caused pollution, many authorities are now relying on green infrastructures and intelligent flow control instead of the traditional grey infrastructures (e.g., basins and pipes). The objective of this research […]

This project is designed to build a system and software that will monitor and analyze the Electrical Vehicle (EV) bearing anomalies and failures. We will develop a framework that will address the EV bearing failure modes, its effect, and the key features of each failure mode. Later, we will collect the bearing data at “Solution […]

The World Health Organization has identified poor test-result management as a high priority area of patient safety. Systematic reviews in test-result follow-up have shown that failure to follow up on test results, such as pathology or medical imaging, can have major consequences for the effectiveness, quality and safety of patient care. Over the last three […]

Les entreprises manufacturières québécoises accusent un retard important dans l’automatisation de leur processus et la modernisation de leurs équipements par rapport aux autres pays industrialisés. Selon un sondage sur la fabrication de pointe au Québec, les répondants affirment que la pénurie de main-d’œuvre, l’inadéquation entre les compétences requises et le manque de finissants dans le […]

Canaliser la valeur des matières abondantes gaspillées et les recycler afin d’obtenir une meilleure qualité de l’air et un chauffage plus abordable pour tous les citoyens.

Le dépistage de la fièvre et des autres facteurs reliés à la COVID-19 à l’aide de l’intelligence artificielle et projeté en réalité augmentée pour assister les ressources médicales sur le terrain.

La question du stress financier devient d’autant plus alarmante dans le contexte de crise financière dû à la Covid-19 qui a pour principales conséquences pertes et baisses de revenu généralisé des revenus des ménages. De récents sondages font état d’une vague de faillites personnelles à venir dans les prochains mois : 1,3 million de Canadiens […]