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 […]

L’identification représente un enjeu important en cybersécurité parce que, si une entité non-autorisée arrive à se faire passer pour une entité autorisée qui demande l’accès à un système, cela mène généralement à un vol de données. Au-delà de l’enjeu technique, il s’agit d’un enjeu de confiance : chaque entité doit avoir confiance en l’autre entité […]

MDA Montreal possesses a niche expertise on a wide variety of high-performance satellite telecommunication antennas. These antennas are exposed to extremely harsh environments. Some panels require a rigid mechanical assembly (i.e., nut and bolt fastening) but must preserve their thermal isolation for the proper operation of the antennas and to limit heat exchange towards the […]

Surgical Safety Technologies aims to provide healthcare professionals with the opportunity to perform research in areas of surgical performance and education and implement evidence-based solutions to improve patient safety. Search on video content would an ideal functionality to assist with healthcare professionals’ research. This project uses computer vision model to rank the relevance of the […]

Veyetals online smartphone-based application that can be downloaded through the Apple Store or the Google Play Store. It uses Remote Photoplethysmography (rPPG) technique to extract Blood Volume Pulse (BVP) signal from a face video captured using smart phone camera, and then applies multiple computational algorithms to measure heart rate, heart rate variability, oxygen saturation, and […]