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Strong evidence exists indicating the therapeutic potential of strontium in bone health and regeneration, and perhaps treating metastatic bone disease. Since current standard treatments of large bone defects can still result in poor outcomes (whether using autografts, allografts, ceramic or acrylic cements). New technologies and advances in 3D printing with ceramics and other blended bioactive […]

La désagrégation du béton est une des principales causes de dégradation des dalles des tabliers de ponts et des dalles des toits des chambres souterraines. Cette dégradation est invisible car ces dalles sont recouvertes soit d’un béton bitumineux, soit d’un remblai. Le présent projet de recherche a pour objectif d’étendre les applications de la technique […]

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

This project is a collaboration between Queen’s University and BBA Engineering Consultants. With a shortage of mining and mineral processing engineers across the country, BBA is looking for way to attract more students to study mining engineering and for ways to expose their EITs from other engineering disciplines to topics in mining and mineral processing. […]

The purpose of this project is to leverage Open AI fine-tuned models to enhance the speed in which consulting firms can respond to government issued RFPs. The benefit to the partner organization is enhanced speed and ability to match requirements with consultants.

The proposed project will study some essential tasks regarding motion planning of autonomous indoor service robots, focusing particularly on reliable coverage-planning of arbitrary and irregular-shaped indoor regions. The tools to be used in devising solutions for these problems include geometric and graph theoretical optimal path planning algorithms, various sensor data fusion techniques, and artificial intelligence […]

Most current brain imaging software is designed to work with images that have a consistent anatomy. However, this can be a problem when there are changes in the brain, like the appearance or disappearance of lesions, between two scans taken at different times. While we could develop complex new software for these situations, many researchers […]

Durant ce projet de recherche, nous proposons différentes expériences (in vitro et in vivo) qui aideront à mettre en évidence le potentiel d’une molécule de type aminostéroïde pour traiter le cancer de façon sélective. Une preuve de concept in vivo sur une molécule candidate sélectionnée, montrant une sélectivité d’action suite à des essais in vitro, […]

In an era where AI can write articles, create reports, and even craft stories, ensuring this content is accurate, free from errors, and trustworthy is crucial. Our project, “Building Trust in AI-Generated Content: Innovative Strategies for Quality and Integrity Verification,” aims to tackle this important challenge and to measure and increase the reliability and trustworthiness […]

Dans un cadre éducatif, les procédés industriels sont rarement accessibles pour effectuer tests. Le recours à des outils de simulation de modèles dynamiques de ces procédés est souvent une solution pour permettre l’étude de ces procédés. Le réalisme de ces simulations est étroitement lié à la précision des modèles utilisés. Le présent projet vise à […]

As autonomous technology evolves, smart vehicles emerge as a pivotal development for transforming public transportation and minimizing transport costs. Key to their broad acceptance is the resolution of safety, stability, and compatibility issues. This project proposes a cutting-edge solution through a High-Definition (HD) map-aided, multi-sensor fusion approach, aiming at precise lane-level positioning and navigation in […]