Projet Synergique – Intégration d’une équipe de soutien intégré en parasports

Les athlètes en fauteuil roulant qui pratiquent des sports comme le basketball, le tennis, le rugby ou l’athlétisme ont besoin d’un soutien spécialisé pour atteindre leur plein potentiel. Actuellement, chaque équipe fonctionne de façon isolée, ce qui limite les échanges d’expertise et rend difficile un accès équitable à des services de qualité. Ce projet vise […]

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Myotis lucifugus and Myotis yumanensis mixed maternity roost monitoring methods

This project seeks to develop a non-invasive method, which does not require direct wildlife capture and handling, for monitoring the endangered little brown myotis and a co-occurring species, Yuma myotis, at shared summer maternity roost sites in western North America. A method is urgently needed so that potential species-specific impacts to these two bats from […]

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Ordonnancement multi-objectifs des projets comptables

Beeye développe des algorithmes avancés d’optimisation automatisée des tâches, spécialement conçus pour résoudre des problématiques complexes liées à la gestion des ressources. Ses activités principales comprennent la création d’un système de planification automatisé qui s’attaque au problème de la planification multi-objectifs sous contraintes (MORCPSP). Ce système permet de gérer efficacement l’allocation des ressources, tout en […]

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L’intervention par la nature et l’aventure en contexte Inuit : Regard sur l’implantation du programme Tuttuit et sur les mécanismes en oeuvre.

Depuis 2014, Nurrait | Jeunes Karibus (NJK) œuvre à titre d’OBNL pour promouvoir le développement personnel et social des jeunes du Nunavik par l’entreprise de programmes d’intervention par la nature et l’aventure (INA). Dans le cadre d’un de leur programme, nommé Tuttuit, NJK a pour objectifs l’identification des forces et intérêts des jeunes, l’acquisition de […]

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Investigation on the Enhancement of Design and Manufacturing Processes through the Integration of Large Language Models and Vision Models

In the world of design and manufacturing, there is always a need to supply certain goods (parts, assemblies, materials, etc.) from a manufacturer to a buyer. In most cases, there is a wide variety of procurement options, and choosing the right supply is a complicated process that requires taking multiple factors into account. The optimal […]

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Objective Correlation Method Between Laboratory Direct Shear Tests and Field Measurements for the Evaluation of Joint Strength Parameters

Rock slopes and underground excavations are important aspects of mining, civil engineering and energy projects. The shear strength, or resistance to sliding, of rock joints (e.g., cracks and fractures) is the dominant component for stability of underground excavations and large rock slopes. Laboratory testing of these features is challenging, expensive and difficult to interpret. Emerging […]

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Improving tropical tree biodiversity mapping from drone imagery to support the scientific study and conservation of tropical forests

Rubisco AI is a startup that aims at monitoring forests worldwide to study their biodiversity using high resolution drop imagery. One of their core applications is to monitor tropical rainforest where tree identification and mapping is currently a very hard task: a single local biologist expert can only identify ~20 individual trees per day due […]

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Digital Twin Technology in Urban Planning: Housing, Biodiversity, and Infrastructure – The case of Dieppe & Moncton (NB)

Rapid urban growth challenges cities with rising populations, infrastructure demands, and environmental sustainability. Traditional urban planning, based on outdated models and fragmented data, struggles to address these complexities. Digital Twin (DT) technology offers a solution by creating dynamic virtual models of real-world environments using real-time data. By integrating sources like geographic information systems (GIS), sensors, […]

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Training Generative Tabular Foundation Models

Layer 6 is a machine learning research and engineering company owned by The Toronto-Dominion Bank. Most of TD’s transactional data is stored in relational database management systems in the form of tabular datasets, structured as rows and columns. While Large Language Models (LLMs) have revolutionized the handling of unstructured data (such as text, audio, and […]

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Optimizing STAR-RIS Deployment for Next-Generation Wireless Networks

This research project focuses on improving wireless communication systems by studying and optimizing new technologies called Reconfigurable Intelligent Surfaces (RIS). These surfaces can control how wireless signals travel, helping expand coverage and improve connection quality in urban and rural areas. A special type of RIS, known as STAR-RIS (Simultaneously Transmitting and Reflecting), allows signals to […]

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«Shallow Water Extensions to Complex Fluid Dynamics»

The realism and interactivity of large water bodies—such as oceans and rivers—are essential for creating immersive and dynamic open-world environments. With the rapid advancement in GPU computing power, physical simulation techniques are now a feasible solution for significantly enhancing the realism of water systems in real-time applications. Shallow water simulations, for example, provide efficient 2.5D […]

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