Covering designs for efficient de-identification of health records

In Canada, research ethics boards vary widely in the way they interpret risk to patients when their personal information is being re-used for research purposes. However, many research ethics boards will permit information to be shared without consent when they believe there is a low risk of re-identification. PARAT is Privacy Analytics’ de-identification software tool. […]

Read More
Developing a real-time early warning system for potable water sources

Healthy freshwater ecosystem plays a vital role in every Canadian’s daily life as primary drinking water source and sustains the social and economic status of Canada. However, Canada’s freshwater ecosystem has been negatively impacted by population growth, urbanization, industrialization, agriculture, and climate changes. The 2017 national assessment by World Wildlife Fund-Canada found that 60 among […]

Read More
Dilution prediction and reduction in underground mines based on stoping methods using artificial intelligence

Given that dilution is a problem that reduces the profit of many underground operations, the dilution monitoring, prediction, and reduction convey the capability to increase operational efficiency. The proposed research aims to develop an unplanned dilution monitoring, prediction, and reduction tool. The research methodology will be based on artificial intelligence (AI)-based models. More specifically, the […]

Read More
Dynamic actor tracking for Augmented Reality-based filmmaking guidance

Augmented Reality can help in simplifying the filmmaking process by intelligently suggesting shot composition angles for amateur filmmakers to take better shots. In partnership with Rubber Match Productions, researchers will investigate how actors within an AR filmmaking environment can be dynamically tracked to provide real-time guidance to the filmmaker for shot composition. The project will […]

Read More
Pattern Extraction in Social Networks Using Formal Concept Analysis

In recent years, with the emergence of online social networks and the growing interest in genetics and biological networks, the research community has been tasked with analyzing knowledge extracted from multi-relational datasets. Such analysis, generally known as Knowledge Discovery in Databases (KDD), is concerned with the computer aided discovery of useful knowledge in databases. An […]

Read More
UX Application Marchant et Centre de données

Tastet est un guide de bonnes adresses ! Notre mission est de promouvoir le milieu de l’hospitalité, soutenir son essor et contribuer à sa vitalité. Nos critères d’analyse des établissements permettent d’offrir un contenu de qualité le plus objectivement possible. Tastet est basé sur la confiance mutuelle des gens du milieu avec les actrices et […]

Read More
Secure Communication Based on Public Key Distribution with Imbalanced Twin-Field-QKD-like Infrastructure in Classical Coherent Optical Fiber Network

In quantum key distribution (QKD), the twin-field has been proposed as a means to overcome the linear key rate bound, and hence the key generation rate, as well as to enable repeaterless QKD transmission. Despite significant progress in TF-QKD and its variations in recent times, the key rates are still significantly low compared to practical […]

Read More
Modélisation d’un système de tutorat intelligent pour une formation grand public

Les Éditions Protégez-Vous souhaitent innover dans la diffusion numérique de leurs guides afin d’accompagner les consommateurs en leur offrant un coaching virtuel. Pour certains guides, comme le guide Succession qui contient une description détaillée des 24 étapes d’une liquidation, cette diffusion deviendrait une formation autonome avec un suivi personnalisé requérant des interventions humaines seulement en […]

Read More
ESG Events Clustering using Natural Language Processing

The integration of Environmental, Social and Governance (ESG) factors into investment decisions has accelerated in the last few years. In fact, Bank of America estimates a $20 trillion of asset growth in ESG funds over the next two decades. Evaluating ESG related events of a company is an important task to assess company ESG risk. […]

Read More
Effective Algorithms in Polyhedral Geometry and Symbolic Analysis

The proposed research projects will expand the scope of computer algebra systems (CAS) into two areas where much remains to be done: symbolic analysis and polyhedral geometry. One of the proposed research projects will also strengthen CAS in one of their well-established territory, namely symbolic integration. These themes will support applications such as the analysis, […]

Read More
In-Class Testing of VUCAVU.com in Postsecondary Settings

Our research will focus on ways VUCAVU.com can meet the increasing demand for online access to Canadian independent film and video for use in educational contexts. The purpose is twofold; first, in-class testing of our new private page online streaming functions and secondly, to gather feedback from the instructors on their online class processes and […]

Read More
Constructing and Analyzing a Cross-Artifact Build Dependency Graph

Modern video games are composed of different types of artifacts, such as images, sounds, and software code. All these artifacts are developed at the same time by different teams. While the independent creation and modification of each artifact allows different teams to make changes without blocking each other from making progress, how artifacts are combined […]

Read More