In this project, we’re developing a smart wearable device that works together with an app to assist users in improving their sports performance and maintaining their health. Ideal for enthusiasts of sports like golf, tennis, or badminton, this innovation is designed to overcome challenges in skill improvement. The device tracks user activity during play, sending […]

Software quality is a complex challenge that includes security, reliability, correctness, and maintainability. Existing tools fall short in effectively identifying, monitoring, and prioritizing quality issues. This research project aims to bridge these gaps by developing a comprehensive solution. By addressing these limitations, it will enhance productivity, reduce risks, streamline software development, and increase project success. […]

In aviation industry a large flow of data including thousands of parameters are registered by FDRs (Flight Data Recorders). The objective of this project is to use this big data to improve the efficiency and safety of flights. The data is collected and segmented from the raw datasets and then proper data cleaning methods are […]

Spot application of pesticide has economic and environmental benefits. To enable a real-time spraying, the timing of actuation after detecting the pest should be precise to enable hitting the target. One issue in spraying using wide booms is the need to place cameras on the boom itself to avoid possible costly mechanical modifications. As such, […]

Eleven million people are living with diabetes or prediabetes in Canada. As many as 15% of people with diabetes develop a foot ulcer, usually due to neuropathy, a lack of pain feedback, which would otherwise allow a person to recognize areas of high pressure or friction on the foot. These foot ulcers can develop infections, […]

Designing built environments is a complex process that involves generating and evaluating alternative solutions using computational tools. In the Architecture, Engineering, and Construction (AEC) industry, designers use generative design methods to explore a larger number of alternatives and ML-driven rapid performance prediction to identify potential issues early on. However, separating these tasks hampers creative flow […]

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 […]