On cherche a prevoir via l’intelligence artificielle (IA) comment un groupe d’equipements de moyenne tension appele « paste satellite » va alimenter en electricite son secteur de distribution pour les prochaines heures et jours. Le comportement d’un poste satellite est defini par trois unites de mesure qui sont la puissance active en megawatts (MW), la […]

While there have been several literature reviews on the performance of digital sepsis prediction technologies and clinical decision-support algorithms for adults, there remains a knowledge gap in examining the development of automated technologies for sepsis prediction in children. Pediatric sepsis is a major cause of mortality of children worldwide. However, there is still a lack […]

The goal of this research The system will be designed to intelligently propose redactions for court officers to examine, thereby integrating human oversight with advanced technological capabilities.is to engineer an intuitive and user-friendly system capable of automatically scrutinizing and eradicating confidential information contained within refugee court files in Canada. By leveraging cutting-edge language processing and […]

Most neurotraumas affecting the control of movements are partial, allowing some recovery of movement with time and rehabilitation. Motivation and persistence through this difficult process are crucial in mediating rehabilitation-dependent recovery, but are negatively affected by the physical and psychological challenges that accompany neurotrauma. We know that the reward network of the brain is involved […]

This study aims to analyze the dynamics of error propagation in the PIV-pressure analysis and suggests two approaches: I) a formal analysis and II) corresponding algorithms for optimal sensor placement that minimize the error propagation from the measured data to the computed pressure field. By analyzing the Poisson problem together with boundary conditions, the optimal […]

The project “Detecting Phishing Websites using Machine Learning Techniques” aims to develop a method that can accurately identify and block malicious websites. Machine Learning algorithms will be used to analyze various website features, such as URL, page content, rank and other indicators to determine if it is a phishing site or not. By identifying and […]

The intern will be working on a research project aimed improving scalability and applicability of automated reasoning tool called SPACER by improving the way it deals with special data types. Overall, the goal of this project is to make SPACER a more effective and reliable tool for verifying program correctness.

Open-ended problem solving plays an important role in industrial innovation, product development, strategy formulation, and many other applications. The study will use experimental methods to investigate the behaviour of individuals while solving open-ended problems, and will entail the gathering and analysis of both qualitative and quantitative data. Individual problem-solving tasks will be given to participants […]

The project is dedicated to the explore how the effective interface for a small modular nuclear reactor should look considering human factors and current digital technology design trends. The research will review the significance and application of modern human-computer interaction techniques to ensure a better user experience and to achieve substantial safety and operational benefits […]

Modern society heavily relies upon synthetic polymers, mainly based on carbon-based backbones and thus linked to a fossil-based industry. Polymers with non-carbon elements in there main chain are rather uncommon. Only polysiloxanes, known as silicones and polyphosphazenes have industrial and societal relevance. This project aims to investigate whether novel one-dimensional P,N-based polymers can be accessed […]

This research project, a collaboration between ServiceNow and ÉTS Montréal, aims to improve generative AI (e.g. artificial intelligence models that learn to generate data), which can impact various creative and knowledge-based industries like graphic design, content creation, and research. The project aims to create advanced generative models that can generate a variety of data types, […]

Sugarcane is native to the warm temperate, tropical regions of the world and is highly weather dependent. Recent climate change has hampered its growth, resulting in reduced yields, forcing farmer to adapt different practices in Costa Rica. There are four main phenological and development stages in Sugarcane. This project is focused on the maturation process […]