Computational Scanning of lmidazolium-based Anion Exchange Membrane materials

One promising approach for the advancement of both fuel cells and electrolyzers is the incorporation of anion exchange membranes. These would provide many potential benefits, such as a significantly decrease cost as they do not rely on expensive precious metal catalysts. However, anion exchange membranes still face multiple challenges, one of them being their chemical […]

Read More
Real-time visual feedback in swimming – FORM Swim Goggles (1)

Form Athletica Inc.’s augmented reality swim goggles (FORM goggles) are on the leading frontier of augmented reality sport technology. With their see-through display and ability to track and display numerous swimming performance metrics in real-time, swimmers have the opportunity to train in a smarter and more efficient way. Exploiting data from the FORM goggles will […]

Read More
Sonde à courants de Foucault pour le contrôle non-destructif des lignes de transport aériennes d’électricité

Le projet porte sur le développement d’une sonde à courant de Foucault pour l’évaluation de l’état de corrosion interne des conducteurs des lignes de transport électriques aériennes à haute tension. En effet, ce travail vise à développer une sonde capable de mesurer simultanément les pertes de zinc (revêtement anticorrosion sur les brins d’acier) ainsi que […]

Read More
The latent of Spectra fusion of X-Ray Fluorescence (XRF) and Mid-Infrared (MIR) Spectroscopy for detection and management of the Aluminium (Al) and Manganese (Mn) content in Canadian Soils for Potato (Solanum tuberosum L) cultivation.

The successful agronomic strategy relies on nutrient detection and estimation. Adequate management of nutrients is an important concern for the whole growth period of Potato (Solanum tuberosum L.) cultivation. In this work, we try to analyze the situation of potential harmful elements for potato production such as Aluminium (Al) and Manganese (Mn) in soil and […]

Read More
Stage Concepteur(trice) communication et base de données

Fondée en 2020, AWL-E a pour mission de commercialiser des solutions de transmission d’énergie sans fil grâce à sa technologie unique offrant plus de distance, de puissance et d’efficacité à ses utilisateurs. L’entreprise se concentre sur l’implémentation de ses inventions aux applications à fort impact social et économique. L’entreprise as recruté des étudiants pour soutenir […]

Read More
Large-scale transformers for probabilistic time series forecasting

Making future projections about quantities of interest is a key component of decision-making, which has broad applications. For instance, in healthcare, one may be interested in monitoring the severity level of a disease given a treatment plan, while carefully accounting for potential sources of uncertainty. Alternatively, one may be interested in predicting the occupancy level […]

Read More
Innovation Studies to Enhance Testing Services

The project between Plato Testing Inc. and NBCC has been built to support indigenous students of the software testing program to gain industry experience and utilize the skills they have developed in class. The software testing industry is ever growing, and requires talented students with an understanding of programming and software development to make software […]

Read More
Fairness Attacks on Large Language Models

Under the European General Data Protection Regulation (GDPR), businesses using customer data to make decisions must provide explanations in human terms on demand to the customer to explain their decision. The rise of natural language generation (NLG) and chain-of-thoughts (CoT) represents an opportunity to combine the power of deep learning, automated decision-making, and explainable AI. […]

Read More
Towards a Deep Multimodal Similarity Learning for Text and Image Embeddings Fusion

Turquoise Technology Solutions Inc. (“Turquoise”) is a Google Partner firm based in Montreal. They have been working on recommender systems for books and recipes. They are currently interested in improving the accuracy of their recommender systems. In order to improve such a system, the goal is to extract the model of customers’ preferences using both […]

Read More
Liver transplant dashboard application

My project’s goal is to create an efficient application that would demonstrate the prediction of the survival and mortality risks of a certain patient generated by a deep learning algorithm, and provide doctors with all the relevant data surrounding this prediction. I am going to work on the ways to implement this application into doctors’ […]

Read More
A Smart Prosthetic Liner

Lower limb prosthesis users typically wear a silicone liner on their residual limb, which is the interface between their body and the prosthetic socket. Knowing the in-socket pressure distribution is extremely beneficial in ensuring proper socket fit and thus better gait and higher quality of life for amputees, considering the need of amputees for a […]

Read More
A Window into the Mind at a Price You Can Afford: Developing an Online and Offline Pupil-Size Analysis Plug-in

We will harness the power of Mirametrix eye-tracking technology to offer a viable means of probing internal mental processes that were previously intractable without more expensive or invasive techniques. Through the innovative application of popular statistical methods and state-of-the-art machine learning techniques, we will produce a software plug-in capable of online and offline pupil size […]

Read More