Recent years have seen a great amount of success in using deep learning in publicly available and standardized datasets such as ImageNet. However, deep learning methods fail to perform as well in a lot of real-world applications such as medical imaging datasets. One potential reason for this challenge is that deep learning models tend to […]

La ville de Montréal est reconnue pour sa dynamique culturelle et festive. Aujourd’hui et afin d’appuyer cette réputation, de nombreuses opportunités voient le jours et de nouveaux modes de création et de diffusions émergent. Le but de cette recherche est de rendre compte de la place accordée aux arts numériques au sein des arts de […]

Metal-based direct energy deposition processes ideally require feedback sensing of the deposition quality using camera detectors as they provide spatial and temporal state signatures of the process. Image processing algorithms are challenging to develop due to changing process operating conditions. Machine learning models have recently gained in popularity due to their ability to predict process […]

A hybrid computational framework for short-term flood prediction in urban watersheds (characterized by overland runoff) will be developed to improve prediction accuracy. The framework aims to accurately predict an event, e.g. flood or no-flood, as opposed to traditional methods which estimate water flow characteristics, e.g. 6 feet above flood stage. Successful early prediction of these […]

This proposal aims to advance large-scale dust mitigation strategies in hydroelectric reservoir sites through improved revegetation outcomes, and through leveraging revegetation efforts to additionally enhance local biodiversity and cultural values. Our team has developed a strategic partnership between university researchers, BC Hydro, environmental industry partners, and the local First Nations community to provide an interdisciplinary […]

The green building movement within building designs has put a spotlight on the application of green technologies to reduce the energy consumption and overall carbon footprint of residential and commercial buildings. In general, approximately half of a building’s total energy usage goes towards heating, cooling, and lighting requirements [1]. According to a recent report from […]

Les solutions d’optimisation et d’aide à la décision logicielles développées par ExPretio comportent un « moteur de règles commerciales » qui permet aux utilisateurs de configurer les modèles d’optimisation par l’ajout de contraintes, de sorte que les résultats produits en sortie respectent des stratégies commerciales de la firme utilisant les logiciels. Comme le mécanisme de […]

Engineers use the earth’s heat to create heat pumps, to store energy, and to generate power. As the world moves away from carbon fuels, geothermal resources are increasingly attractive, promising sustainable, reliable sources of energy. Fortunately, the oil industry has already provided infrastructure to access this resource—depleted horizontal oil and gas wells drilled to a […]

This research project will assess, and compare cybersecurity frameworks currently in place for critical infrastructure protection in Internet of things (IoT), Operational Technology (OT) and 5G to determine what the recommended policies are for critical infrastructure protection today for IoT, OT and 5G, and if there is already a currently used framework that supports all […]

Ce projet a pour but de développer un dispositif permettant d’entraîner les souris de laboratoire à réaliser des mouvements des yeux dans différentes directions. Ce dispositif sera combiné à l’imagerie fonctionnelle et sera utilisé pour la recherche en neuroscience afin d’explorer des pathologies telles que les accidents vasculaires cérébraux ou de développer des neuroprothèses. Ce […]

Recent increased enthusiasm towards Computer-Integrated Manufacturing (CIM) coupled with developments in smart sensor technologies and advances in communication systems have resulted in simultaneous incorporation of several advanced monitoring and sensing technologies within manufacturing and industrial sectors. In particular, Industrial Artificial Intelligence, referred to as the IAI, is positioning itself as the transformative technology of the […]

La mise en oeuvre de l’ingénierie des systèmes dirigée par les modèles dépend largement des compétences des ingénieurs et de leur maîtrise de la méthodologie et du langage de modélisation utilisés. Ce problème est plus accentué chez les compagnies qui ont développé leur propre méthodologie et qui, toutefois, utilisent des outils standards de modélisation développés […]