Le présent projet consiste à élaborer une série de tests visant à évaluer et bonifier le produit conçu par Ditch Labs afin de se conformer aux standards et bonnes pratiques relatifs aux dispositifs médicaux délivrant un aérosol à base de Nicotine. En effet, avec l’aide de ses sous-traitants canadiens, Ditch Labs doit évaluer la qualité […]

Le projet consistera à revoir les politiques de substitution aux biosimilaires dans l’ensemble des provinces canadiennes et de relever les différences et les similitudes entre elles. De même, les politiques canadiennes seront comparées avec celles disponibles ailleurs dans le monde (par exemple : Royaume-Uni et France). Par la suite, le projet visera à estimer les […]

With the advances of medical imaging, accurate diagnosis has been significantly enhanced, especially when utilizing cross-modality imaging for complicated diagnoses such as the spine and cardiovascular system. However, cross modality image processing poses a challenge due to large amount of data generated. Computer Tomography (CT) and Magnetic Resonance Imaging (MRI) images, for example, have great […]

L’arrondissement d’Ahuntsic-Cartierville et les organismes de loisir qui le compose aimerait produire un portrait des participants.es aux activités de loisirs offertes par le milieu associatif afin d’optimiser les services offerts par le milieu. Des questions relatives aux besoins, à la motivation, à la satisfaction, à la pratique et au processus d’inscription, pour ne nommer que […]

This project aims to determine if MacDon’s existing data can be used to develop machine learning models for image segmentation. Image segmentation means identifying different objects in an image by assigning each pixel to a specific category. MacDon has lots of unlabelled video and image data collected from their farming equipment. Traditionally, large amounts of […]

The spectral composition of light-emitting diodes (LEDs) reportedly results in higher crop yield and reduced thermal damage to plants. Given that the stomata response represents a link between the plant and the outside environment, exploring the relationship between photosynthesis, stomatal conductance, and transpiration is paramount. This study will investigate the photosynthetic efficiency and stomatal conductance […]

A refrigerant leak is one of the major contributors of commercial refrigeration unexpected breakdowns. Conventional methods of leak detection using physical sensors are expensive, have limited capability of square footage coverage, and incapable of detecting slow and progressive refrigerant leaks. Accordingly, the development of a smart leak detection system without the need to include additional […]

Efficiency of irrigation practices will become increasingly critical to both economic performance for agricultural businesses and environmental sustainability. Precision irrigation allows for reductions in resource consumption and waste products released to the environment as well as bolsters the ability for a crop-producing business to maintain consistent-market-quality production at the lowest possible cost. The efficacy or […]

Using qualitative research methods, including in-depth interviews and a facilitated workshop, the project explores the educational transition experiences of older refugee-background youth (ORBY) resettled in rural areas of Nova Scotia. Research indicates that resettled ORBY face challenges completing high school and post-secondary programs, explained as influenced by duration of school disruptions, addressing family economic need, […]

Le Pôle d’économie sociale de la Vallée-du-Haut-Saint Laurent entreprend une étude approfondie des défis territoriaux en évaluant les réponses potentielles par l’économie sociale, en mettant l’accent sur le partage des ressources. L’objectif principal est d’explorer comment l’économie sociale peut répondre aux divers modes de partage des ressources au sein des entreprises d’économie sociale. Cette initiative […]

Modern data analysis tasks often face challenges of high dimension and thus nonlinear dimension reduction techniques emerge as a way to construct maps from high dimensional data to their corresponding low dimensional representations. Finding such low dimensional representations of high dimensional data is beneficial in several aspects. This saves space and processing time. More importantly, […]

This project aims to create advanced artificial intelligence (AI) tools to help scientists and doctors better understand and treat severe lung conditions, like acute lung injury (ALI). ALI is a serious condition that can lead to breathing problems and is often difficult to study because the current methods for analyzing lung tissue are time-consuming and […]