The R-Tech data rover – from prototype to commercial product

Manitoba has an opportunity to transform agriculture practices through advances in sensors, robotics, and machine learn-ing. Real-time, automated methods of in-field data collection are needed to increase productivity and sustainability in production agriculture, to expedite plant breeding and research, and to further the uptake of organic farming. To this end, we are developing a self-propelled, […]

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Mobile Devices for Market Research with Reporting and Predictive Analysis

eThor is a startup company that develops applications for mobile devices in the area of e-commerce for wholesale and retail customers, initially in the restaurant industry. The internships proposed in this application relate to the expansion of data gathering, data mining and social network capabilities for the applications development. The data gathered will be transformed […]

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Characterizing groundwater-surface water interactions in constructed side-channel habitat along a gravel bed river floodplain

On the former floodplain of the Mamquam River in Squamish, British Columbia are a series of side-channels that were constructed by the Department of Fisheries and Oceans Canada in 1983-1996. These channels were built to restore some of the side-channel habitat that was lost following the dyking of the Mamquam River mainstem for flood protection. […]

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Generative AI for Dynamic Environment Creation in VR & AR

This project will use state-of-the-art advancements in artificial intelligence in order to automate and enhance the creation of virtual environments in virtual and augmented reality. By building upon previous successes incorporating artificial intelligence into the creation of 2D environments to enhance and guide the algorithmic generation process. By allowing the incorporated AI to respond and […]

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Increasing Engagement and Reducing Barriers to Participation among Immigrant Voters in Canadian Big-City Elections

In this mixed-methods study, we aim to identify specific experiences and institutional barriers that prevent recent immigrants from engaging with and participating in municipal elections in the city of Calgary, Alberta. Using a systematic literature review and data from focus groups and in-depth interviews in Calgary, we will first develop a list of the concrete […]

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Développement et synthèse du polymère Lubrium

Le Lubrium est un polymère synthétique mimant l’activité d’une glycoprotéine naturelle, la lubricine (protéoglycan-4), qui est présente à différents endroits du corps humain, notamment à la surface des cartilages des articulations. En effet, l’arthrose est une pathologie très handicapante ayant un développement progressif avec des prévalences respectives de 20% (7 millions de cas) et 26% […]

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Integrating Artificial Intelligence-based tools and citizen science to enhance biodiversity research and conservation of the charismatic praying mantises (Insecta: Mantodea).

Insects are a key component of ecosystems, economies and human cultures. The Montreal Insectarium seeks to connect the public to nature through engagement with insects, implementing educational programs and citizen science-based research to encourage their conservation. Charismatic species such as praying mantises are instrumental in this context, fostering knowledge of and positive attitudes towards insects […]

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Achieving Circular Wastewater Management with Machine Learning

Effective wastewater treatment is essential to the health of the environment. When operating wastewater treatment plants, utilities must ensure that the treated water meets environmental regulations, while balancing competing needs to minimize the cost of running the plant against the maximizing resource recovery. Additionally, most wastewater treatment plants include a combination of physical, chemical, and […]

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Classification et segmentation de données de drone par intelligence artificielle

Traitement d’images collectées avec des drone par des algorithmes de classification et de segmentation par modèles d’intelligence artificielle. L’objectif du projet est d’automatiser la détection de caractéristiques dans l’image et de convertir ces données en données géographiques. Ce projet permettra de réduire le temps nécessaire pour procéder à l’analyse de données aériennes afin de produire […]

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Application et développement avancé d’un code de mesure de champs de déformation par corrélation d’images

L’objectif de ce projet est de tester et valider un code de mesures de déformation par corrélation d’images numériques (digital image corrélation en anglais, DIC en abrégé). Cette technique permet d’évaluer les déformations en surface que subit une pièce sollicitée mécaniquement, de façon à prédire son comportement en service. Le principe de la corrélation d’images […]

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Developing a novel medical robotic device for treatment of lower back pain employing a non-invasive human-robot interaction method

NeoSpina Health Care Inc intends to contribute to unprecedented treatment techniques for LBP by developing a novel medical device and investigating acquired data from treatment procedures. Accordingly, the main objective of this project is to develop a non-invasive robotic device to treat a wide array of spinal conditions while reducing the treatment duration compared to […]

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