The ReCover Project is advancing deep energy retrofits for commercial, institutional, and multi-unit residential buildings in Atlantic Canada. By addressing critical gaps in building data, this project aims to support policymakers, researchers, and industry leaders with better tools for decision-making. At its core, the project will develop a comprehensive building database that integrates information from […]

Airlines take the extra effort required to figure out what is the best route that their aircrafts should take so as to minimize additional costs from non-revenue flights or idle time. One way to di this is to first generate large numbers of feasible routes and then assign flights to a subset of them so […]

Image enhancement consists of creating a composite image (fused image) from different sources. The objective of this project consists of acquiring images from Electro-Optical sensors and Infrared (IR) sensors in low light conditions, to enhance them, to combine (fuse) them in order to create an image of better quality. To do so, the project will […]

Le mélèze laricin (Larix laricina) serait une espèce intéressante pour la production de matière ligneuse (Bolghari and Bertrand, 1984). Dans les années 70, un programme d’amélioration génétique a commencé et l’hybride (L. ? marschlinsii Coaz.) entre le mélèze d’Europe (L. decidua) et le mélèze du Japon (L. kaempferi) s’est avéré très performant (Perron, 2011). Cependant, […]

This project involves conducting a literature review of research and popular publications on transformative justice—an approach that aims to develop responses to violence by understanding the structures of inequality outside of the current pathways of criminalization and punishment—with the aim of developing applied tools, resources, and guidelines for distribution as open access resources in both […]

Off-site construction involves prefabricating building components in a controlled environment, allowing for enhanced efficiency, quality, and sustainability. This research addresses critical challenges in the development of manufacturing facilitylayoutsfor Roberts Group, Prince Edward Island(PEI). By employing digital simulation approaches, the project aims to design and optimize factory layouts and workflows, reducingmaterial and streamline production processes to […]

Lighting and heating remain high-cost energy considerations in controlled environment agriculture, whether for food or medicinal plant production, yet how these parameters affect highly valued phytochemical profiles in Cannabis sativa inflorescence and subsequent cannabis products remains largely unexplored in industrial settings. This information could prove useful for licensed producers of cannabis or indoor food producers […]

Amélio souhaite développer un modèle prédictif novateur pour anticiper les intentions de départ des employés. Ce projet utilisera des techniques avancées en apprentissage automatique pour aider les entreprises à mieux comprendre les dynamiques internes et renforcer leur stratégie de rétention.

This project aims to develop a new method to design clock frequency multipliers. This game-changing technology can overcome the limitations of conventional clock frequency multipliers and can potentially introduce a new paradigm in high-speed circuit design. Such novel technology will position ESS Technology as the leading semiconductor company specializing in the design of future-generation high-speed […]

Employee absenteeism presents significant challenges for organizations, affecting productivity, team morale, and operational efficiency. Accurately predicting absenteeism enables businesses to proactively address its underlying causes, optimize workforce planning, and minimize disruptions. Advances in artificial intelligence (AI), machine learning (ML), and deep learning (DL) provide robust methods for analyzing complex datasets to uncover patterns associated with […]

challenges such as long wait times and overcrowding. These delays impact patient health and strain healthcare resources. This project aims to address these challenges by enhancing SiMLQ, a cutting-edge software tool that uses data to simulate and optimize ED operations. Using real-world data from Erie Shores Healthcare Center as an example, the project will develop […]

This project will analyze five years of bumblebee data to determine the number of bee species is present in Unama’ki, the environmental factors that exist in their natural habitat and their flower preference and the timing of that preference. Through data analytics a data story can emerge that will form the necessary management practices needed […]