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 […]

Researching AI concepts and technologies – Search for peer-reviewed, state-of-the-art methods – Implement features and evaluate effectiveness – Develop new/modified methods for applying to our project specifically Deep Reinforcement Learning model training and validation – Train RallyAI using different algorithms – Might be involved implementing/designing algorithms – Examine training logs for learning trends – Validate […]

The objective of this project is to develop an algorithmic system, trained on both public legal data and proprietary negotiation data, that will provide tailored predictions of likely court-based dispute resolution outcomes and optimal settlements. In the proposed sub-project, a team of interns (JD students) will be modelling and labelling dispute-resolution data on complaints against […]

The Internet of Things (IoT) presents opportunities for innovative systems that can be used by companies to get a competitive edge. In this context, 360-Agency is working on integrating an IoT solution, called Reatinos, into her existing system. Modernizing such large software system is a demanding and costly task, and it requires understanding of the […]

Deep learning has the potential to increase efficiency of many routine tasks in medical image analysis. For instance, segmentation, the detection of the boundaries of specific target structures like organs or tumors, is a tedious and time-consuming chore for clinicians. Robust deep learning models could assist medical personnel for this type of task. However, automatic […]

Ghostlab has a few major projects. These include: (1) their Ghost ATM software, (2) their administration panel, and (3) their Bitcoin Well web services. (1) Ghost ATM makes cryptocurrency as accessible as cash. It aims to handle all the necessary components needed to complete cryptocurrency exchange so that users receive and simple and convenient experience. […]