Econochef – Implementing MLOps for Small Businesses

This project will look into the tools available to implement machine learning in production and find the best ones to use in a small business environment. The goal is to find a set of tools that can be used by developers with little or no experience with machine learning that is still performant enough to […]

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A Novel Radiofrequency Treatment for Emphysema in Pig Model

A common condition that contributes to Chronic Obstructive Pulmonary Disease (COPD) is emphysema, which involves damage to the walls of air sacs in the lung. There are very limited safe and non-invasive options available, therefore IKOMED Technologies Inc. has been developing an application using radiofrequency wave technology that has shown the potential to non-surgically improve […]

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Développement et analyse d’algorithmes efficaces pour le Building Information Modeling 4D et applications à la recherche de chemins

Depuis quelques années, la nécessité d’avoir des plans numériques afin de gérer efficacement les espaces est devenue un enjeu de taille. La modélisation des données du bâtiment (Building Information Modeling ou BIM) permet non seulement d’obtenir des plans 3D de grande précision, mais aussi des données supplémentaires liées au bâtiment telles que l’évolution de l’espace […]

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Le stress objectif et subjectif de la femme enceinte suivant une catastrophe naturelle peut affecter son accouchement et augmenter le risque que son enfant développe des traits autistiques : urgence d’agir face aux changements climatiques

Une hausse de la fréquence des inondations dû aux réchauffements climatiques est anticipée au Québec et des impacts psychologiques sont à prévoir, notamment chez les femmes enceintes. Subir une catastrophe naturelle durant la grossesse est un stress qui laisse ses traces jusque dans le développement de l’enfant à naître, notamment en augmentant le risque de […]

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Understanding the dynamic of harmful algal blooms in boreal lakes of Abitibi-Temiscamingue

Cyanobacteria are the Earth’s oldest photoautotrophs and responsible for today’s oxygen level. However, when they overgrow and form a bloom, they cause ecological degradation and sometimes become life threatening because of the cyanotoxins they produce. This phenomenon is linked to high concentrations of nutrients, elevated water temperature and low water movement. Recent observations showed some […]

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Climate change innovation in the aftermath of the Paris Agreement: Exploring finance, technology, and capacity-building responses

The 2015 Paris Agreement is clear: significant climate change action will require innovation and a number of different responses, touching on finance, technology, and capacity-building. This will likely include the deployment of new tools, ranging from new models in education and the support of knowledge transfer to novel financing and policy frameworks. As we approach […]

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Evaluation of Changes in Urban Forests in The Annex Neighbourhood, Toronto from 2010 to 2022

Urban forests are an essential component of green and sustainable communities. They play a critical role in ecological and social wellbeing by providing beneficial ecosystem services which improve environment and human health. Nonetheless, urban and infrastructure development, invasive species, and environmental stresses threaten urban tree survivorship. While public trees are often well-documented, there is limited […]

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Attentes et réticences des publics à l’égard des dispositifs de médiation de la musique : vers un guide des bonnes pratiques

L’Étude partenariale sur la médiation de la musique (EPM2) s’inscrit dans un contexte global où la médiation culturelle est considérée comme l’un des fondements de la redéfinition des politiques de l’éducation, de la culture et de la diversité. L’EPM » est un nouveau projet de recherche de l’équipe Partenariat sur les publics de la musique […]

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A Distributed Learning and Automation System for Passive Solar Greenhouses

The proposed research focuses on optimizing the partner organization’s innovative passive solar greenhouses. We propose a distributed learning and automation system (DLAS) that collects sensing data from multiple greenhouses. The DLS learns an optimal predictive model by aggregating the local models from multiple edge devices. The DLAS keeps improving the model as more sensing data […]

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Upgradation of biocrude oil and its fractions into drop-in transportation fuels: Novel bimetallic and trimetallic catalysts development from biochar derived from hydrothermal liquefaction of various low value feedstocks

Currently, around the world municipal solid wastes creating a serious risk to human health and the environment; the cheapest and commonly used management technologies for these wastes are landfilling or combustion. However, landfill releases methane and other greenhouse gases, also it has potential to pollute surrounding soil and groundwater. On the other hand, municipal solid […]

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La contribution de l’économie sociale et solidaire à la circularité de la filière agroalimentaire québécoise : défis, constats et opportunités

La crise sanitaire de la Covid-19 a révélé plusieurs enjeux autour de la filière agroalimentaire, notamment celui de notre dépendance aux chaînes d’approvisionnement extérieures. Alors que de nombreux gouvernements déploient des stratégies d’adaptation à la pandémie et multiplient en parallèle les initiatives pour lutter contre les changements climatiques, quel peut être l’apport des entreprises d’économie […]

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