Blees AI is an educational innovator who believe in transforming and improving the teaching experience and in turn positively impact students learning and maximize their potential. The goal of this project and the company is to provide a complete version of the software platform to the educators to assist their essay grading. Blees AI’s client […]

Smartphones are becoming a combination of a mobile phone, a digital wallet and mini personal computer all rolled into one place which adds to the need for such virtual space. Virtualization of space or what is generally known as Mobile Virtualization Platform (MVP) include servers, storage and applications into a single solution to eliminate complexity, […]

To ensure high performance for AMD’s graphics cards, the company performs extensive testing on computer game titles. Most gameplay testing is done manually, which results in significant effort and cost expenditure. Thus, this project’s objective is to develop a program capable of learning to automatically play a modern video game. Rather than aiming to optimize […]

Once produced, electricity is difficult to store in large quantities. Hence, accurate electric load forecasting is of critical importance to balance production and consumption for modern power grids integrating more and more intermittent renewable energy and variable loads such as electric vehicles. Short-term electric load forecasting for local areas is also of interest to efficiently […]

Suicide is one of the most important causes of deaths in the prison environment, both in Canada and internationally. Rates of attempts of suicide and self-harm have been on the rise in recent years. To address this problem, there is a real and immediate need for an automated, private, and effective monitoring system that can […]

The project aims to study the use of advanced machine learning algorithms to enhance the ability of TRCA to detect shoreline erosion. Accurate detection of shoreline erosion will have significant contribution to optimizing TRCA asset management plans. This will enable TRCA to work with local communities to reduce the impacts of climate change on shoreline […]

Le projet vise à adapter au contexte québécois, à l’intention d’une firme de consultation en gestion, le cadre théorique et les outils d’intervention de la « redirection écologique », un nouveau modèle de gestion développé en France qui vise à aider les entreprises à redéfinir leurs objectifs d’affaires pour faire face aux nouveaux défis écologiques […]

Le procédé de production de l’aluminium dans les usines de Rio Tinto (RT) nécessite l’utilisation de circuits de refroidissement à l’eau pour, entre autres, la coulée des lingots et le refroidissement des stations électriques. Certaines bactéries potentiellement dangereuses comme les légionelles Sont susceptibles de se développer dans les réseaux de refroidissement et puisque la bactérie […]

The CareChanger product is an incontinence care system to be used for detecting and predicting voiding events of a care-receiver in an assisted care facility while providing care to one or more patients with incontinence issues. The fundamental aim of this project is to assist caregivers in providing more personalized, efficient, and cost-effective care specifically […]

We are building a machine-learning algorithm to be able to understand the unstructured clinical notes better and to identify the most appropriate ICD codes for each visit. This algorithm will help healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick patients are, what procedures are performed […]

Intrusion Detection System (IDS) is used to protect internal networks of companies and organizations against malicious activities and policy violations. These systems are typically under the full control of the local system administrator. In this project, we propose to use Homomorphic Encryption techniques to design and implement an Intrusion Detection System that can run as […]

Accurately recommending items of interests is essential for users to improve their experience. To acquire better performance, a recommender system can utilize multiple sources of data and the social knowledge graph. This can lead to efficient use of information to improve the recommender system. By exploring the data and extract crucial features to feed to […]