Middleware-Layer for Mobile Game Architecture

Mobile devices are well established at the heart of our digital lives. Today, these devices are utilized as personalized and enterprise application nodes. Moreover, mobile devices support ubiquitous access to data which even makes them a pivotal component in the deployment of applications such as online games. However, there are challenges that have plagued the […]

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Advanced Text Clustering Algorithm for Aircraft Applications

CaseBank provides a service called ChronicX™ to the airline industry for the purpose of detecting and managing repeat defects, i.e. faults that have eluded resolution repeatedly. Each night, airlines upload their raw maintenance records to the CaseBank server. ChronicX applies text mining methods to eliminate irrelevant records, and search for defects that are repeat occurrences […]

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Efficient Learning Methods for Multimodal Understanding

The main focus of this research is to develop representation learning architectures and algorithms that can help perform various multimodal understanding tasks, and at the same time reduce the need for human supervision in the form of costly annotations. To achieve this goal, a learning system must be able to: (1) learn new tasks or […]

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Developing m-health application framework

MedInstructional Resources Inc. focusses on providing turnkey solution for the education needs of the medical professions. Our current focus is on improving the reliability, agility, accountability and quality of medical student exams. The widespread adoption of mobile computing devices like tablets, offer the possibility to digitize the process of conducting student/patient exams in hospitals. MedInstructional […]

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Consuming Social Media Services on Heterogeneous Devices

Social media integration into enterprise-oriented workflows is gaining widespread adoption due to factors such as crowdsourcing and inter-organization collaborations. The partner organization has an existing system that is working for helping Saskatchewan businesses grow by bringing educated youth into the province. Their system is for providing opportunities for people all around the world to live […]

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Unsupervised Learning Based Approach for Insider Threat Analysis

Insider threat is one of the most damaging security threats to the safety of data, systems, and intellectual property of institutions. Typical threats caused by malicious insiders are trade secrets / intellectual property theft, disclosure of classified information, theft of personal information and system sabotage. Malicious actions of insider threats are performed by authorized personnel […]

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Unmanned Aerial Vehicle Swarm Collaboration for Weed Control in Field Crops

Precision.ai is building solutions to minimize chemical consumption while maintaining weed control through Intelligent UAV based application. Precision.ai has working survey drones that can fly a field, capture images and use AI to map weeds to be sprayed later. Precision.ai also has “See & spray” drones that can fly a field, identify weeds and spray […]

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Earth Data Store – A Networked Ecosystem for Earth Observation Data Analytics

The Earth Data Store project provides a cloud-based repository for information about our earth. This encompasses satellite information, environmental models, sensors, and many other types of data that allow users to ask questions of this data to help inform their understanding of the world. The outputs of the project will allow economic development to be […]

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Apprentissage Machine pour la Planification et la Gestion Optimale de Ressources et la Reconnaissance d’Événements Malveillants

Ce projet vise le développement de modèles d’apprentissage automatique capables de détecter des inefficiences dans le fonctionnement des systèmes informatiques critiques, de prédire les instabilités applicatives, de fournir des recommandations pour une utilisation optimale des ressources, et d’améliorer l’estimation des besoins de rehaussement des systèmes informatique du Mouvement Desjardins. Ce projet s’attaque à trois secteurs […]

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Harmonisation de données d’imagerie de diffusion par auto-encodage adversariel avec respect de contraintes anatomiques

L’acquisition de données d’imagerie de diffusion est suceptible à un important problème de variabilité à travers les différents sites d’acquisition (e.g. Sherbrooke vs. Montréal) et à travers les fabricants (e.g. Siemens vs Philips). Puisque ces données de diffusion ne sont pas invariantes aux protocoles et scanners utilisés, il s’agit d’un problème de taille pour les […]

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Optimisation de la réfection des groupes turbine-alternateurs dans une centrale hydroélectrique

Dans les centrales hydroélectriques, les groupes turbine-alternateurs sont réparés et installés selon un calendrier de travaux. Compte tenu de leur taille, d’autres pièces doivent être déplacées pour accéder aux pièces à démonter, réparer ou à installer. Afin de déterminer le plan d’aménagement des pièces, plusieurs contraintes doivent être respectées : 1) le calendrier des travaux, […]

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Preventive Maintenance for Cable Networks

In this project, we build on these preliminary works and explore the capabilities of different machine learning techniques anomaly detections and predictions of network degradation issues. We also plan to develop ap-proaches to help Cable Network Operation teams triage and diagnose cable network issues efficiently. The results of this project will help Cable Network companies […]

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