Développement d’un système informatique pour générer des rapports quotidiens, mensuels et annuels pour les usines de production d’eau potable de la ville de Gatineau. Le système existant doit être revu pour tenir compte de nouvelles exigences règlementaires sur de tels systèmes.

Engineering organisations like Thales rely on large quantities of technical knowledge. When resolving a technical problem, for example, users have to follow a multi-step procedure in which the steps are described with various levels of detail, may not be up to date, or may not target the exact problem they are facing. Recent progress in […]

This grant application, aims to develop an efficient and accurate project management analysis platform based on active and few-shot learning techniques. The main objective of our platform is to provide advanced insights and predictions related to project activities, teams, and budgets, using recent advancements in natural language processing (NLP), active and few-shot learning technologies. By […]

The primary goal for this project is to develop a user customized dashboard to help overcome business challenges and provide the opportunity to access new and different markets. Mortgage Brokers Ottawa can access new and different markets with more efficient assessment and considerations of the terms and risks of the mortgage, unique financial circumstances and […]

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This research proposes a way to make speed up video game testing by creating a tool that can understand how a player moves through the game without any special information. Usually, video games are tested manually to find bugs and problems, which takes a lot of time and effort. The proposed solution would use gameplay […]

Multiple sclerosis (MS) is a chronic and progressive autoimmune disease that affects the central nervous system (CNS), including the brain and the spinal cord. In MS, the immune system attacks the myelin that covers the neuronal fibers, resulting in inflammation and damage of CNS that leads to a wide range of symptoms concerning movement, sensation, […]

Videns Analytics est une compagnie qui approche cinq ans d’existence et qui regroupe une quarantaine de collaborateurs. Pour sa gestion interne, la compagnie utilise plusieurs outils qui touchent différents domaines comme par exemple: – la gestion des heures des collaborateurs, utile notamment pour la facturation; – la planification de l’affectation des ressources humaines sur les […]

With recent advances in microscopy techniques for calcium imaging, scientists are now able to monitor the neurons in large brain areas of living animals. However, this also creates significant challenges for scientists who must make sense of the large and complex datasets generated. As a result, there is a need for new componential methods and […]

This research project aims to develop AI based models for predicting visual saliency in gaming videos. Visual saliency refers to identifying the most relevant and important areas in an image or video. This technology has numerous applications, including improving video compression and optimizing the backlight dimming of displays, leading to better user experience and power […]

This research project aims to improve the care of children with severe mental health or substance use disorders by developing a ML model that can predict which children are most likely to need hospitalization. The project will analyze data from various services, including transitions into the adult mental health/addictions system and examine hospital admission outcomes […]

Forrest Green, in collaboration with Saint Mary’s University, will work with the intern to successfully develop and implement new web solutions and module for Police Services across the country. The intern will work on innovative dashboards to support crime trends and crime data (external) as well as aggregated officer data for use of system analysis […]