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 […]

L’entreprise D-BOX oeuvre dans le domaine du divertissement et de la réalité augmentée grâce à ses sièges avec rétroaction haptique qui offrent une expérience sensorielle plus riche, que ce soit pour l’industrie du cinéma ou celle des jeux vidéo. Bien qu’il soit possible d’annoter manuellement la trame haptique pour une scène de film, il est […]

Given the ever growing neural networks being developed and the abundant empirical evidence that model/data scale play an important role in enabling high-quality models of data, inference cost becomes a bottleneck to the deployment of state-of-the-art automated predictors. To address that, this research project aims to develop algorithms that can predict outcomes by combining predictions […]

The proposed project aims to develop Easy Receipt’s software by integrating a receipt NFC transfer feature through the expertise of the intern Maryam. By leveraging her skills and utilizing the Scaled Agile Framework methodology, the project aims to improve the Easy Receipt application, leading to streamlined receipt management for users and increased brand visibility. This […]

Anomaly detection of machinery is a crucial aspect of predictive maintenance. It involves monitoring specific parameters related to the machinery’s condition to identify significant changes that indicate a potential fault. Bearings, which are important components in rotary machinery, are responsible for over 40 percent of rotary machinery failures. Consequently, researchers have been focusing on detecting […]

AI tools based on deep learning has recently been suggested for many complex problems where a large amount of data is available. We will be working similar AI tools but problems from very different domains, namely, airport delay management after disruption and predicting prices of fresh produce under challenging climate conditions. Establishing a recovery flight […]

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 […]

This research project focuses on improving the analysis of hyperspectral images, which capture images with many narrow spectral bands. Hyperspectral images have many challenges due to their high dimensionality and data redundancy. To overcome these challenges, the researchers aim to develop an advanced intelligent analytics framework for hyperspectral dimension reduction (HDR) using disentangled representation techniques. […]

This research project aims to create a system that allows users to communicate with a virtual environment using their voice. The system will convert the user’s voice commands into text and use natural language processing techniques to understand the user’s intent. Then, the system will generate 3D content based on the identified intent using AI […]

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 […]