Financial fraud is a very serious problem plaguing financial institutions. Recent advances in information technology have only exacerbated this problem. Poor risk models were at the core of the 2008 financial crisis. Complex networks, structured graphs, are powerful models for representing higher-order interactions or dependencies within data sets. Graphs are relational models of covariates, where […]

Spent Coffee Grounds (SCGs) are a waste stream that has the potential to produce value-added and upcycled food ingredients as it contains many nutritionally valuable components. This project will investigate biological methods using enzymes and fermentation for the conversion of SCGs, a poorly digestible food waste, into a more digestible and palatable form. The processed […]

In recent years, the rise of ultrabooks and mobile devices has been accompanied by an ever-increasing need for reliable high-bandwidth wireless communications. Their widespread use, combined with the industry’s move to virtualized cloud services, has put additional pressure on the Internet’s back-end infrastructure. Moreover, this increased load has coincided with a progressive shift in use-cases, […]

In practical machine learning problems, it is important to understand impact of features on models’ predictions. Such an understanding helps not only better explain the black-box machine learning models but also enables their effective applications in business environment. The general model explanation approaches make an untenable assumption that the model’s features are uncorrelated, which can […]

L’entreprise Hortau a mis au point une nouvelle technologie mesurant directement le potentiel matriciel du sol sur une plage étendue allant jusqu’à -1000 kPa. Cette technologie a permis de caractériser de nombreux phénomènes en physique et hydrodynamique qui n’avaient encore jamais été observés. En testant différentes approches pour mesurer la tension du sol, l’objectif du […]

The proposed research project would focus on the development of high-value carbon fibers from low-value waste by-products, asphaltenes, for multifunctional applications. One part of the program would highlight the efforts to scale up the technology without deteriorating the process performance. The other part of the program would focus on working with North Forge in the […]

Mud pulse telemetry is a widely used technology for measurement-while-drilling (MWD) in the oil and gas sector. MPT signals are used in real-time drilling application to provide insight about the pressure, temperature, drill bit direction and deviation, and transmit logging data about the surroundings to improve the reservoir drilling economic efficiency. It transmits signals using […]

Without doubt, hydrogen will be a significant component of future worldwide energy supply. The main issue that hampers the use of hydrogen is related to its storage and transportation which currently uses costly high pressure or very low temperature to transport and store hydrogen. Therefore, there is an urgent need to provide a safe, efficient, […]

En 2010, au Québec, 73 % des terrains recensés par le Système de gestion des terrains contaminés (Système GTC), affichent une contamination de nature organique (Hébert et Bernard, 2013) Actuellement, les techniques de dégradation chimique et/ou biologique sont largement utilisés dans l’industrie, mais les résultats sont souvent décevants pour les hydrocarbures les plus lourds (Bunker […]

Product lifecycle management has always been promising. But achieving fully connected data, people, and processes may seem daunting for most SMEs. Spiri Robotics is a vibrant company with strong software engineering roots. They run distributed, remote operation in parallel in several North American cities using state-of-the-art versioning, testing and deployment tools for their code. However, […]

This project aims to design sustainable new microsystems to power data monitoring buoys that can provide a sustainable power source using the ocean waves dynamics. The proposed project will result in significant advances in three long-standing challenges in energy harvesters-based micro devices powering the data monitoring buoys using the ocean waves. These include low frequencies […]

Early childhood educators are a crucial element of children’s early learning and child care experiences. The state of their well-being is known to influence the quality of care and influence retention/turnover within the field. The early childhood education field in Nova Scotia has experienced considerable changes over the last few years, with the implementation of […]