Maximizing Efficiencies – Identification of Optimization Based Best Practices for Commercial 3d-printing

The research project seeks to understand, model and analyze the potential efficiency impact of additive manufacturing (AM or 3D-printing) on select manufacturing processes. The research will involve identifying, testing and measuring optimization opportunities in current manufacturing processes by combining current best practices and technologies across various AM technology and services, operational research methods and standard […]

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Antennas and Lenses for Lunar Mission Applications

This project focuses on revolutionizing space communication through the design and optimization of customized conical horn antennas tailored specifically for space applications. Horn antennas are pivotal in facilitating efficient communication in space, offering unmatched versatility in controlling radiation patterns and providing high efficiency. This project aims to optimize horn antenna geometries and design metrics by […]

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Ouverture d’un Costco à Rimouski : Assurer des retombées positives pour le secteur bioalimentaire du territoire du Bas-Saint-Laurent

Le détaillant Costco ouvrira une succursale à Rimouski en 2025. Ce projet mesurera les impacts socioéconomiques sur divers groupes d’acteurs du secteur bioalimentaire du territoire de l’installation d’un gros joueur comme Costco dans une région éloignée. Il vise aussi à documenter les pratiques d’approvisionnement de la compagnie et de la succursale à l’aune du développement […]

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optimizing healthcare management using deep learning

Initially within the application procedure for searching appropriate combination of care seeker/giver matches it’s observed that user must select a range of options like the type of health care worker (HCW) needed for the job, credentials they require, their estimated rate, distance from the location desired, choosing level of experience HCW possesses, and checking whether […]

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Vision-based Maneuver Classification for Autonomous Driving

The proposed research project aims to address the challenge of accurately detecting and classifying complex driving maneuvers in real-world conditions. Partnering with Matt3r Technologies Inc. in Vancouver, BC, this research will develop a deep learning model that uses multiple types of data, such as dashboard video, to achieve maneuver detection for autonomous vehicles. This innovation […]

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Research and Development of an AI based Software to Recognize Realtime TV Commercials on Low-power Computing Equipment

This research will explore the possible use of video analysis, object detection, and machine learning models to identify TV commercials and advertisements in real-time on low-power computer systems. The partner organization focuses on software development and advertisement technology. The partner aims to solve the challenge of developing a lightweight power-efficient AI-based software that would be […]

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Deep Learning for Acoustic-based Pipe Leak Detection

Current leak detection methods for water pipelines, such as fixed acoustic devices and Pipeline Inspection Gadgets (PIGs), require shutting off the water supply and are often impractical for field inspections. These methods demand extensive workforce and time and often fail to detect smaller leaks effectively, leading to significant water loss, increased operational costs, and potential […]

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Investigating Parkin Oxidation and its Impact on Parkinson’s Neurodegeneration

Parkinson’s disease (PD), a devastating neurodegenerative condition, is becoming increasingly prevalent in our aging population, yet the events leading to neuron death remain unclear. Current treatments aim to alleviate symptoms, but none address the cause of neurodegeneration, leaving a cure for PD elusive. Disease progression is marked by significant neuron loss in the brain region […]

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Oxidative stress-induced Nrf2 misfolding in Parkinson’s disease

Oxidative stress and aging are the primary risk factors for Parkinson’s disease (PD). The protein Nrf2 is particularly important in fighting oxidation and the associated damage in the brain as it activates antioxidant enzymes. Nrf2 is regulated by another protein called Keap1. These two proteins can get damaged under excessive oxidative stress conditions and thus […]

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The Connected Workplace: Private Industry

This project will focus on the use of wireless technologies in the Canadian private sector work environment. Wireless is the fastest growing area of Canadian communications. Despite enormous growth for personal use, recent market data demonstrates the workplace remains a largely underdeveloped market for wireless service providers. The overall purpose of this project is to […]

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BRIGHTLANE: Creating a Home for a Community of Entrepreneurs

BRIGHTLANE: Launching an Incubator” is a research project that will explore and evaluate different traditional approaches to creating supportive environments for startup business. Co-working spaces have seen enormous growth in recent years and people seek the support and savings associated with a shared workspace. This project will provide foundational research to facilitate the launch of […]

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Mitacs Accelerate Fellowship

The proposed research project focuses on understanding how to better prevent and respond to cholera outbreaks, particularly in impoverished areas lacking clean water and proper sanitation. Despite having the tools to prevent cholera, most efforts are reactive rather than proactive, meaning resources are often mobilized only after an outbreak occurs. The study will analyze the […]

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