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 […]

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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 […]

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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 […]

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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 […]

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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. […]

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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 […]

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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’ […]

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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 […]

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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 […]

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Research & Develop Online Tools for Climate Change Mitigation Services in Developing Countries

Through this Mitacs initiative, the Sobey School of Business, Saint Mary’s University, and OEA Technologies, Inc., will cooperatively research and develop online and social media tools that facilitate delivery of professional environmental services in developing countries. OEA Technologies’ specific interests are climate-change related oceanographic services and small-island developing states. “Innovation and diversification are not optional […]

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Development of recommender system based on user and item data

With this project, we aim to increase our knowledge and experience in recommender systems. We are specifically interested in testing various data structures and algorithms that will allow us to provide recommendations to our users based on their interest (user-user), as well as the intrinsic similarities between different elements of our database (item-item). Based on […]

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A soft magnetic small-scaled robot for biomedical applications

This study aims to develop a soft and flexible magnetic millirobot based on elastic and biocompatible polymers that can generate voltage as it moves. By using this proposed millirobot, locomotion efficiency can be increased with a decrease in resistance under challenging and harsh conditions in stomachs and digestion systems. In addition, it can serve as […]

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