Le complexe tourbeux de Lanoraie fait l’objet de conflits d’usage de l’eau depuis plusieurs années et l’évolution récente de la tourbière montre une transformation très marquée de la végétation depuis 70 ans. La hausse des pompages pour l’irrigation des cultures de pommes de terre, combinée à une succession d’étés secs, a exacerbé les conflits d’usage […]

L’objectif du projet est d’automatiser la reconnaissance des signaux acoustiques et vibratoires d’une part, et des signaux de décharges partielles d’autres part, et ceci à l’aide d’un modèle d’apprentissage profond. Cette reconnaissance est la première étape du développement d’un modèle de pronostic et de suivi de l’évolution de la dégradation des alternateurs. Ces signaux sont […]

The project aims to facilitate the research and development of new drugs by applying machine learning and deep learning to further develop an AI-assisted molecular search database. The company has an internal dataset holding more than a billion molecules. Two main challenges are keeping the molecule catalog updated and Searching for the desired molecule or […]

In warm climates warm temperatures cause thermal stratification in hydropower reservoirs inhibiting mixing and leading to deoxygenation of waters at depth (hypolimnium). Turbines withdrawing water at depth result in low dissolved oxygen (DO) in the downstream flow having a large negative impact on the downstream riverine ecosystem. Legislation in the USA and elsewhere now requires […]

This project proposes the use of carboxylated cellulose nanocrystals (CNC) – developed and manufactured by Anomera Inc. from Canadian forest – as nano-inclusions to tailor a set of properties in cement and concrete composites towards enhanced performance. Due to its unique properties, CNC can significantly enhance the mechanical performance of cement and concrete composites. The […]

Les Industries Show-Canada inc. ont des problèmes de gestion de projets relativement à la communication. Les divers départements, dont l’ingénierie, le dessin et la production, n’ont pas de communication efficace entre eux. Il n’y a donc aucun suivi des différents échéanciers pour les différents projets. Ceci créé des problèmes au niveau des livrables que la […]

Les troubles musculosquelettiques (TMS) sont une préoccupation importante au Québec et diverses avenues de prévention sont mises de l’avant pour en diminuer leurs impacts : formation du personnel, conception d’aménagements et/ou d’équipements adaptés, ajustement des exigences de production, etc. Dernièrement, les exosquelettes semblent susciter l’engouement pour prévenir ces risques dans les milieux de travail. Cependant, […]

Molecular generative methods are at the heart of our computational platform. We use cutting edge deep neural networks in order to generate unseen molecules based on existing conditions or molecular space. Since external projects typically require different architectures, we are continuously expanding our generative methods toolbox with new approaches. This project aims to augment our […]

In this project, the main purpose is to develop a tool for facial image anonymization by replacing the face in an image with a fake, generated face. To have realistic looking generated images, it is essential for the generated face to have a similar pose to the original one and to be seamlessly harmonic to […]

Sometimes an object is partially hidden by a physical object like fingers, book etc. or by digitally pasted artifacts like blurringof an area. The intern will be working on detecting these types of digital and physical occlusions on an object. At Jumio we encounter documents that are hidden or occluded by such masks. These documents […]

This project aims to study and assess nutrient conditions in Lake Massawippi and its surroundings. Previous studies suggest that fertilizer contaminants from various agricultural plots flow to nearby waters, especially the adjacent Tomifobia river. Our team will assess soil, and water components for net transfer of nutrient and other particle contamination. These measurements will be […]

The student will develop a recommendation system for restaurants, proposing food selections to customers. This system will be based on GNN models to predict a customer’s need based on both user and order data. The data include previous purchases, data of dishes and similarity of users collected from online food orders. In the first phase […]