In this project, we build on these preliminary works and explore the capabilities of different machine learning techniques anomaly detections and predictions of network degradation issues. We also plan to develop ap-proaches to help Cable Network Operation teams triage and diagnose cable network issues efficiently. The results of this project will help Cable Network companies […]

This project aims to predict demand and inventory shortages for better inventory management in health care institutions. This will initially allow for a reduction in the expenses generated by emergency orders placed during a stock shortage. Indeed, it will be possible for the establishment to order a larger quantity of the product from the supplier […]

TV Whitespace (TVWS) designates the inactive or unused space between TV channels actively used in UHF and VHF spectrum :470 MHz to 700 MHz. The TVWS band performs best in the most rural service areas. This is due to the characteristics of TVWS, and how it’s shared with powerful analog TV stations Such TV transmitters […]

Artificial Intelligence (AI) is transforming our lives in the same way as the advent of the Internet and cellular phones has done. However, it takes thousands of CPUs and GPUs, and many weeks to train the neural networks in AI hardware. Traditional CPUs, GPUs, and brain-inspired electronics will not be powerful enough to train the […]

The main objective of this research project is to evaluate and analyze the effect of music in well-being and state of flow of the human participants. First, we intend to design a set of scenarios, in which we collect qualitative and quantitative data via micro-phenomenology and biofeedback techniques. Then we analyze the collected data to […]

We have seen the recent surge of COVID-19 because we cannot afford another massive shut-down. A portable and timely detection device for the COVID-19 nucleic test is more desirable. In this proposal, we propose to develop an impedance-based nucleic acid testing device. Our LOC devices are low cost, user friendly alternatives to centralized lab tests. […]

When utilizing and implementing ML for prediction using administrative health data, two key issues are ML algorithm evaluation and generalizability21. Current approaches evaluate model performance by quantifying how closely the prediction made by the model matches known health outcomes. Evaluation metrics include sensitivity, specificity, and positive predictive value, as well as measures such as the […]

Le dépistage de la fièvre et des autres facteurs reliés à la COVID-19 à l’aide de l’intelligence artificielle et projeté en réalité augmentée pour assister les ressources médicales sur le terrain.

Artificial intelligence coupled with machine vision agrochemical sprayers can replace traditional uniform applications. Novel advancements utilizing high resolution images with deep learning techniques are required to develop new algorithms for advanced real-time automated classification. Fields will be surveyed, and a digital library database of images will be acquired for the major target weeds that are […]

Through my work with the Women of Windsor, I hope to inspire more women to become a part of this organization that does a great job of uplifting women all around. It is important, especially in these times, to support each other when we can encourage one another to take on leadership roles in the […]

Due to the effects of COVID-19 on tourism and travel, even within local communities, Sensory Friendly Solutions has had to abandon our business model, and export revenue streams that focused on matching consumers with businesses in our global Sensory Friendly Finder. We have an immediate need to pivot our business model and revenue streams for […]

Le secteur de la cybersécurité est en grande croissance dans le monde mais principalement au Canada où le potentiel d’innovation est élevé grâce à son capital humain reconnu comme hautement qualifié. En parallèle, les menaces cyberattaques sont en hausse et l’objectif de Flare Systems est de pouvoir répondre à la demande du marché canadien conséquente […]