Le résumé des opinions des clients est une tâche essentielle pour un entreprise dans une ère où le consommateur se fait un avis au travers des recommandations de ses pairs. L’objectif du projet est alors de fournir une représentation générale, informative, et contenant des avis objectifs et constructifs de ces opinions. Pour cela nous proposons […]

Access to private or leased land is currently not a simple problem. Landowners would like to know who is on their land, when, and for what purpose. Getting permissions from landowners to use their land is often not straight forward; often leading to bypassing obtaining permission. Some landowners do not want hunters, but do not […]

Cloud computing offers virtually unlimited resources in CPU, memory, and bandwidth, under a service agreement scheme. Operators leverage on this model to achieve economies of scale, by hosting as much customers as possible on such infrastructure. The detected gap is that the Communication Service Providers (CSP) must take into consideration trust as a parameter into […]

This continued project is aimed at using state-of-the-art machine learning, mathematical and AI techniques to create profitable trading strategies in derivative markets. Using our existing framework, we now seek to apply modern algorithms/models with the explicit purpose of implementing fully independent algorithmic trading strategies.

Climate change is rapidly altering the planet, and solutions are urgently required to reduce greenhouse gas (GHG) emissions and limit further warming. Blue carbon ecosystems (salt marshes, seagrass meadows, kelp forests, marine soft sediments) are important carbon reservoirs that could contribute to Canada’s climate change solutions. Yet, despite having the world’s longest coastline, Canada has […]

The goals of this proposal are to develop methods to identify cell subgroups in dopaminergic (DA) neuron cultures obtained by differentiation of human pluripotent stem cells (hPSC), and to exploit this information to improve existing DA neuron differentiation protocols. To realize these goals, we will leverage expertise at STEMCELL Technologies in hPSC differentiation and Simon […]

In the proposed project, we will investigate a solution for increasing the safety of construction workers at heights using an intelligent sensor-based system. A real-time monitoring system will be developed for alerting workers who are getting close to hazardous conditions and areas. The objective is to lower the chance of accidents by enhancing supervision of […]

Aluminum and titanium components fabricated via laser powder bed fusion (LPBF) process have gained industry interest, especially for automotive and aerospace applications, due to their enhanced lightweight and mechanical properties. For a higher part quality and surface resolution, the use of fine powders is desired for the LPBF process. However, the poor flowability of fine […]

Music therapy is an evidence-based effective intervention to promote psychological, social and emotional health, and it is specifically favored by older adults. However, little is known on the efficacy of the AI-assisted empathic music therapy in which the music is continuously adapted to individuals’ mood. To fill this gap, the proposed project will assess the […]

Recently, a new form of organization—a decentralized autonomous organization (DAO)—has emerged as a novel form of governance. DAO is an organization represented by programmed operating rules that determine who can execute changes to the rules of applications built on blockchains. Through ownership of governance tokens, DAO grants its stakeholders such as users, developers, and contributors […]

An organization that can effectively understand its specific customers’ needs will be able to follow the best communication approach and accurately measure engagements. A data-driven framework based on the customer’s digital behavior, historical data, will be developed to identify specific customer segmentation and used to find optimal next best action to enhance customer experience by […]

The opioid epidemic is a serious health crisis in Canada, North America, and globally and has worsened during the COVID pandemic. Opioid treatment strategies are at the forefront of efforts to tackle this crisis. To improve the replacement therapy currently used, an estimate of tolerance is required. This proposal takes an existing proof-of-concept opioid detection […]