Jumine : Explication des anomalies en flottation minière

Le projet se concentre sur l’amélioration du processus de flottation par écumage, une méthode clé dans le traitement du minerai à grande échelle. Actuellement, un détecteur d’anomalie dans la cellule de flottation développé par Jumine identifie des problèmes tels que la vitesse inappropriée de la mousse, son affaissement ou encore sa coalescence trop importante, mais […]

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Développement d’une plateforme d’apprentissage hybride sur des jumeaux numériques via Automation Studio™

En s’associant avec des chercheurs/professeurs universitaires (pouvant supporter le développement), Famic pourra renforcer la présence de ces outils dans la mouvance numérique sur la scène canadienne et sur la scène mondiale. Pour cela, Famic souhaite un développement stratégique dans son offre de solutions par l’introduction d’une plateforme permettant un environnement d’apprentissage et de conception créative, […]

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Demande SSE | Laurence Carbonneau – Comment optimiser le Mix Marketing des entreprises québécoises dans l’objectif de réduire leur dépendance aux GAFAM?

Le paysage médiatique est en constante évolution et nécessite une agilité stratégique pour répondre aux défis imposés par les géants de l’industrie, tels que Meta et Google. Le choix du projet réside dans l’optimisation du mix marketing du département de performance de Click & Mortar et a comme objectif de réduire la dépendance d’un client […]

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Demande SSE Camille Bensallam – Comment utiliser la science de la création pour enrichir et optimiser le processus créatif dans une agence marketing ?

Le projet supervisé vise à explorer l’intersection entre l’art et la science de la créativité au sein d’une agence marketing. L’objectif principal est de comprendre comment intégrer des données dans le processus créatif, en cherchant à dépasser les jugements subjectifs tels que “ça me plaît” ou “ça ne me plaît pas”. Cette approche cherche à […]

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Improved Machine Learning for Uncrewed Ground Vehicle

Compusult Limited has developed an Uncrewed Ground Vehicle (UGV) system with powerful sensing and terrain navigation capabilities. This project proposes to being development of a system to enhance these capabilities through the addition of machine learning and artificial intelligence capabilities. Activities include data collection, organization and development of experimental system to perform baseline experiments.

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L2M – Advancing Light Electric Vehicle Adoption: Designing and Testing a Novel AC Machine for Reduced Cost and Enhanced Performance

The partner organization operates in the dynamic electric vehicle (EV) industry, aiming to address the challenge of making light electric vehicles more affordable without compromising performance. This is particularly evident in e-bikes, e-motorcycles, e-scooters, and e-wheelchairs. The high cost of these vehicles, coupled with efficiency challenges, hinders widespread adoption. The project targets the cost and […]

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L2M – Precision Social Prescribing Customer Discovery

Precision Social Prescribing (SRX) closes the loop from community organizations to referring clinics with a web app to monitor clients’ wellbeing and the effective implementation of SRX programs. Precision SRX provides participatory geospatial information system (PGIS) Software as a Service (SaaS) and thrives on a dense network of users in a locality. Precision SRX requires […]

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L2M-Development of smart aeroponic systems for the promotion of wellness and sustainability

Sustainable agriculture has a significant and multifaceted role in promoting human health and well-being. There are many approaches to achieving wellness and an aeroponic growing solution is an excellent way to promote wellness by cultivating fresh, nutritious plants and thereby providing an indoor natural environment. In addition, the urban population in Canada is experiencing unprecedented […]

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L2M – VT-PATCH for Remote Patient Monitoring for Children

The VT-PATCH project addresses a crucial gap in pediatric healthcare by introducing a user-friendly medical patch designed for short-term, continuous monitoring of infants and young children. Unlike the current complex system of multiple devices and wires, the VT-PATCH offers an all-in-one solution to measure vital signs like heart rate, respiratory rate, blood oxygen saturation, and […]

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L2M-Advancing Surgical Precision and Care with AI-Enhanced Mixed Reality

2.1.b. Objectives and approach (the what and the how) obj1: Understanding Healthcare Requirements for Medical Data: Initiate in-depth studies with healthcare professionals to understand their specific needs for visualizing medical data in MR. This could involve examining existing VR solutions in healthcare, and conducting focus groups and interviews with doctors, surgeons, and medical staff to […]

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L2M – AI-Enable Regional Water Quality Assessment with Downscaled Climate Impact

This project is fundamentally about business development and identifying user needs in the face of climate change, a critical issue that poses significant threats to urban water infrastructure resiliency. The focus is on the anticipated challenges caused by changing precipitation patterns, increasing temperatures, and rising demand leading to freshwater scarcity and declining quality. Such climate […]

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L2M – Social Impact Measurement Toolkit For Community Service Organizations

Canada is facing a prolonged period of low productivity, which is worsened by its aging demographic. Low productivity growth leads to reduced economic growth and a lower quality of life for Canadians, emphasizing the need for innovation. Two key factors are Canada’s low Business R&D levels and its leadership in university R&D. To address this, […]

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