This project is aimed at using machine learning algorithms and techniques to enhance the current state of the art of missing tooth detection in mining monitoring systems. Unlike heuristic approaches that follow strictly static program instructions, machine learning techniques operate by building a model from example inputs in order to make data-driven predictions or decisions. […]

With the increased capabilities of technology, data plays an increasingly important role in decision-making (Mandinach & Gummer, 2013; McAfee & Brynjolfsson, 2012) and small and medium-sized enterprises (SME) now require employees to use data to inform practice (Earl & Seashore Louis, 2013; Lohr, 2012). Furthermore, harnessing big data and predictive analytics has transformed many industries, […]

L’interférométrie radar est une technique innovante et opérationnelle pour l’extraction des données topographiques (InSAR) et la surveillance des mouvements du sol (DInSAR) à partir des images radar. Cette technique utilise l’information sur le déphasage des signaux radar provenant du même objet au sol observé selon des positions différentes du SAR (InSAR) ou de la même […]

Non-metallic technologies, including composite materials, have the potential to improve aircraft engines performances and fuel efficiency, and therefore gained a lot of popularity in the aerospace sector in the past decades. Therefore, the overall objective of this research project is to develop an understanding of all available non-metallic technologies, their maturity and value proposition when […]

User-authored annotations of data visualizations can support analysts in the activity of sense making, where it is not only critical to document observations and hypotheses, but also to communicate insights between analysts. As the size and complexity of data grow, so does the diversity of annotations. We propose to develop a visualization system that allows […]

Hummingbird Drones provides aerial fire monitoring services to the BC Wildfire Service through the use of Unmanned Aerial Vehicles (UAVs). They conduct night-time flights over wildfire zones to locate and map hotspots for ground crews. Their current operations suffer from two bottlenecks: a heavy camera stabilizer which decreases flight time, and long post-processing time after […]

Bell Helicopter Textron Canada Limited and Pratt & Whitney Canada have all initiated research projects on Additive Manufacturing (AM) processes. Although applications are different, all companies are facing the same challenges, including the lack of a mature Canadian supply chain. The purpose of the current project is to bring together the whole value chain (Certification […]

The idea of using light for transferring data has been developed rapidly since 1960s. Today, using light for short-distance communication, as an alternative for copper wires, is rapidly growing mostly because of its broadband communication characteristics. Optical communication systems consist of both electronic and photonic components. Designing such systems will benefit from an Integrated Development […]

Present high capacity mining practices suffer from poor selectivity resulting in significant amounts of barren rock to report to the processing plant and significant quantities of metal in the waste dump. The research is aimed at developing sorting systems that improve the selectivity of the mining practices. The research will help MineSense Technologies Ltd to […]

The promotion and maintenance of women’s pelvic floor health is a growing concern as pelvic disorders affect a substantial number of women and their prevalence is expected to increase as a result of Canada’s aging population. Pelvic floor disorders go beyond their physical consequences as they can negatively impact women’s psychological, sexual, and social quality […]

ICES is a non-profit organization tasked with housing and conducting research of Ontario’s health administrative data. Data is available on all legal residents of Ontario, Canada most populous province. In addition, these health administrative data are being supplemented with data from other sources, such as maternal and newborn clinical data, newborn screening data, and immigration […]

The precise prediction of fluid behavior is required in many fields of engineering. Fluid flows are governed by a complex system of continuous partial differential equations (PDEs) which rarely have an exact analytical solution. Computational Fluid Dynamics (CFD) has emerged as a leading method of analyzing fluid flows, by numerically solving the respective PDEs. Current […]