Caswil – Classification automatique des demandes de services en soins à domicile à partir de texte libre

Caswil – Classification automatique des demandes de services en soins à domicile à partir de texte libre (1) Principales activités du partenaire : Caswil est une entreprise spécialisée en services-conseils dans le domaine des technologies de l’information, notamment en migration et transformation de données et développement logiciel. (2) Défis : Caswil accumule des données textuelles […]

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Macro and micronutrient measurements in hydroponics

Environmental conditions (temperature, humidity, light, air movement, CO2 and nutrient levels) are carefully monitored in controlled environment agriculture (CEA) to optimize indoor crop production. Irrigation management is prioritized to ensure nutrient availability to plants, water use efficiency, prevent plant nutrient diseases, maximize crop yield and boost desired phytochemical profiles for a given crop. Automated irrigation […]

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Map Data Analysis for Lawn Service Optimization

This research investigates the fusion of multi-source geospatial data to overcome key scaling limitations in automated property assessment. The primary research problem addresses object occlusion in satellite imagery, where features can obscure ground-level surfaces and prevent accurate area measurement. We propose and evaluate a novel machine learning approach that geometrically fuses satellite imagery with ground-level […]

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Oxygen vs. Metabolites: investigating Mechanistic Drivers of Skeletal-Muscle Hypertrophy in Low-Load Hypoxic Resistance Training

Many athletes and patients use blood-flow-restriction (BFR) cuffs to make light-weight exercise feel like heavy training, but no one is sure why this type of exercise causes improvements similar to traditional exercise. Is it because the cuff blocks oxygen from entering the muscle, or because it traps byproducts (metabolites) that signal the muscle to grow? […]

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A Scalable Nitrous Oxide (N2O) Emissions Predictor Utilizing Fuzzy Logic and Impulse Response Measurements

Nitrous oxide (N2O) is a powerful greenhouse gas with a global warming potential 298 times that of CO2, significantly contributing to climate change through agricultural activities, particularly the application of fertilizers. Accurate and scalable prediction of N2O emissions is essential for sustainable agriculture and climate mitigation. Current methods, such as LSTM-DLM neural networks proposed in […]

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Développement d’une solution d’inspection de quais portuaires par drone sous-marin, photogrammétrie et intelligence artificielle

Le Port de Sept-Îles, premier port minéralier en Amérique du Nord, célèbre 25 ans d’indépendance. Depuis 1999, il mise sur l’innovation, le développement durable et des partenariats solides pour soutenir la communauté. Avec une capacité annuelle de 100 millions de tonnes, il joue un rôle central dans le développement régional et international. Dans ce contexte, […]

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Motor-powered pediatric prosthetic knee joint

Prosthetic knees are essential for transfemoral amputees, enabling more natural movement, reduced energy use, and increased independence. Active prosthetic knees (APKs), which use motor-powered actuation to mimic muscle function, further improve gait efficiency, balance, and weight distribution—benefits especially crucial for children. However, current APKs are designed for adults and are too heavy and bulky for […]

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Phytoextraction of metals in leachate through crop irrigation

This project aims to explore the uptake of metals in leachate water by Tallwheatgrass phytoextraction. Leachate water is costly to treat and often requires off-site transportation. In addition to being cost intensive, this is also a high energy consuming process. By utilizing phytoremediation, we can provide a sustainable, affordable, and environmentally friendly alternative to shipping […]

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Transforming Vacant and Derelict Infill Properties into Affordable Housing Opportunities

This project addresses the growing challenge of vacant and derelict properties in Winnipeg’s Spence Neighbourhood by exploring practical strategies to convert them into affordable and sustainable housing. The research will examine the main barriers to housing redevelopment, including high construction costs, complex zoning regulations, limited financing, and low incentives for property owners to invest in […]

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Performance de l’ADN environnemental pour l’identification des sites de fraie de l’éperlan arc-en-ciel et du gaspareau sur la côte du Nouveau Brunswick

Ce projet vise à évaluer la performance de l’ADN environnemental comme technique de détection des sites de fraie de l’éperlan arc-en-ciel et de gaspareau dans les rivières côtières du Nouveau-Brunswick à partir d’un large échantillonnage réalisé par notre partenaire (Vision H2O) dans les dernières années. Ces informations représentant une information critique dans la gestion de […]

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Integration of multi-omics data for predictive modelling of drug efficacy in cerebral organoids

To date, using only electrophysiological data, Epiloid has achieved a classification accuracy in the low-90% in classifying drugs on their predicted ability to modulate hyperexcitability (as seen in epilepsy). This project seeks to enhance this accuracy by incorporating multi-omic datasets into Epiloid’s machine learning pipeline, which stands to dramatically assist in collecting a holistic picture […]

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