Front End Developer

2.2 billion people live with vision impairment: Over 1 billion are preventable or treatable. Even though the majority of cases are in Developing Countries, 75% of vision loss in Canada is preventable and 1 out of 5 Canadians are at risk of vision loss. Our emerging crisis of preventable blindness costs the Canadian government almost […]

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Using Technology for Curriculum-Based Measurement of Literacy

We do not have an effective Canadian Curriculum-Based Measurement Tool. Moreover, existing tools do not incorporate Artificial Intelligence. We aim to develop a tool that will enable the targeted and brief assessment of gaps in student literacy skills with the aim of allowing strategic instruction to be planned and delivered based on those gaps. Identifying […]

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Developing an Application to Facilitate Health Practitioner-to-Patients eConsultation

Despite the advances in medical science over the years, a great number of the world population still lacks access to basic healthcare. The health disparity between people in low resource settings and developed countries cannot be overemphasized. The disparity in health between developing and developed countries is evident in their life expectancy. However, the current […]

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Developing a Data Science Tool for Open Government Datasets

In an effort to build public trust, the Government of Canada has made a commitment to move toward an Open Government, where government data will be easily accessible and shared broadly. For the public to benefit from Open Government sources, they will need tools that will allow them to analyze and interpret the data accurately. […]

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Dandelion Open Distributed Computing Platform Development (Software Development)

Dandelion technology solves the speed and scalability problems of current blockchain using a new physical paradigm to build the most efficient, open distributed network, with a finalization cost of $.00001 per event. The proposed project is aimed at adding smart contract and sharing functionality to the Dandelion network, improving cryptographic efficiency with aggregable signatures under […]

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Modèle de prévention de maladies basé sur l’IA et l’internet des objets

Ce projet de recherche vise à concevoir un modèle de prévention du COVID-19 basé sur les techniques d’Intelligence Artificielle (IA) et de l’internet des objets (IoT). Les données physiologiques seront obtenues des dispositifs intelligents et des bases de données virtuelles. Ces systèmes serviront pour le développement d’un outil de mesure et d’observance des indicateurs chez […]

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Résumé objectif et informatif d’opinions

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 […]

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Data Visualization of GIS Data for Managing Land Access

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 […]

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Design and implementation of an automatic security response mechanism for cloud services based on trust attributes.

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 […]

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FeatTS-Detect : Features-Driven Time Series Anomaly Detection

With the rapid growth of sensors in Cyber-Physical Systems such as clinical data, industrial systems and data centres, there is an increasing need to monitor these devices to secure them against anomalies. This is particularly the case for streaming clinical data. Indeed, the timeliness revelation of anomalies in these data can save the patient’s life. […]

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