The proposed research will develop the underlying medium that can be further advanced into a real-time emission intensity assessment framework. The intern will be developing computational models based on electricity generation metered volumes and investigate how deep learning and data mining approaches can assist information extraction to enhance analytical capacities on sequence learning. Since ReWatt […]

Ce projet consiste à créer une plateforme permettant à des artistes de peindre sur un mur projeté avec leurs mouvements corporels. Ce projet a pour but d’explorer la relation entre les mouvements et l’expression sur canvas. Le stagiaire a l’expérience pratique pour développer l’algorithme d’apprentissage automatique, travailler avec une équipe multidisciplinaire et produire un plugin […]

The present worldwide outbreak of COVID-19 (SARS-CoV-2) has already caused enormous loss of human lives, and massive economic and social upheaval. Even as COVID-19 vaccination has started, it may be many months before normalcy returns. Public health interventions can play a major role in containing and mitigating infectious diseases by disrupting the propagation of contagion. […]

Explosive growth of social media has transformed how people communicate, interact, and actively express their opinions about different topics. Scrawlr’s unique model for platform management allows extensive freedom for users to generate their content, creating a novel opportunity to evaluate user opinions and network structure. A popular method to analyze online content is sentiment analysis. […]

Mobile Innovations Co-Notes Electronic Pocket Notebook (EPN) solution not only replaces pen and paper – it connects the officer and enables them to securely gather rich data securely using their mobile device. It allows users to include text, audio, video; statements, evidence, signatures and tickets as well as traditionally recorded notes. Everything is time-stamped, geo-tagged, […]

In large scale earth observation systems, data is gathered in short duration surveys returning massive numbers of point data observations (often millions) covering significantly sized regions. To maintain up-to-date products (e.g. navigation charts in harbours with continuous silt build-up), successive surveys are performed that often cover overlapping areas. Searches to find all the data in […]

Over the past few years, Graph Convolutional Networks (GCNs) have achieved state-of-the-art performance in machine learning tasks on graph data and have been widely applied to many real-world applications across different fields, such as traffic prediction, user behavior analysis, and fraud detection. However, networks in the real world are often with heterogeneous degree distributions, such […]

Digital Integration Centre Of Excellence Technology Access Centre (DICE) at Saskatchewan Polytechnic (SP) and Levis Media Inc. (Levis) will collaborate on the research and development of an inventory management system that targets small to medium-sized enterprises (SMEs) in numerous industries underserved by current systems. In the space of Enterprise Resource Planning (ERP) software whereby an […]

Large community hospitals and teaching hospitals in Ontario operate at congestion levels most of the time. This translates into long wait times for the patients, cancelled procedures, undue stress for the clinical staff, and inefficiency in hospital operations. In order to address the bottlenecks in patient flows, decisions are made by the clinical staff based […]

Non-contact sensing for vital signs and human activities utilizing wireless signals has attracted a lot of attention in the last few years. Sensing using Ultra-wide-band or milli-meter wave radios is advantageous in its ability to penetrate garments or walls, operate under different lighting and weather conditions, and better preserve people’s privacy. Despite successful research demonstrations, […]

This project fits into the strategic goal to accelerate transition to digital technology in working with universities to research and analyse industry trends. The second phase will help the Ciena Documentation team test ideas and to implement them in the Component Content Management System (CCMS) and Translation Management System (TMS) in order to improve their […]

Ce projet consiste à appliquer des algorithmes d’apprentissage automatique AI pour mettre à l’échelle la vidéo standard (hors ligne et en temps réel) en super-résolution. La plupart des projets de super résolution vidéo actuels ciblent des scénarios d’application hors ligne. Nos projets optimiseront l’algorithme et sélectionneront l’ensemble de données approprié. Tout en prenant en charge […]