Cette étude vise à déterminer le niveau de performance du jardin de pluie aménagé dans les conditions du climat nordique. Les résultats du suivi expérimental qui seront obtenus devront permettre de mettre en évidence les points forts et faibles du système implanté à Longueuil, afin d’en améliorer le fonctionnement en climat froid aussi bien en […]

In today’s world, the video chat and conferencing has been a necessary part of overall routine life (both personal and work). Currently, the video chat and broadcast technologies require lots of bandwidth to transmit high quality data. In overall project, we aim to make video transmission data intelligent by using the state-of-the-art AI technology. This […]

Automated essay scoring (AES) task involves using computer technology to grade written assessment and assigning a score based on its perceived quality. AES has been among the most significant Natural Language Processing (NLP) applications especially due to its educational and commercial value. Accordingly, AES is a well-studied topic with previous studies focusing on improving the […]

Ce projet porte sur le développement de méthodes et stratégies de commande des entrainements électriques pour les véhicules sport récréatifs ou véhicules tout terrain VTT. Le projet cherche entre autres à améliorer les performances du système et à faciliter la transition des véhicules actuellement propulsés par moteurs à combustion interne (ICE) vers des systèmes complètement […]

Poor physical recovery, especially in remote rehabilitation, is the problem that will be addressed in this project. This project is Phase I of development of Fun-exercise module. Fun-exercise system uses gamification to boost patients’ adherence to their prescribed home-exercises. To achieve this goal, Fun-exercise will use mentally stimulating and customizable games paired with a set […]

Short-term electric load forecasting for local areas is of interest to Hydro-Québec to efficiently respond to demand at the distribution level. Any significant forecasting error can result in reliability issues, loss of opportunity, or additional costs to the business. Improving short-term load forecasting can benefit both consumers and utility companies to optimize resources and costs. […]

AltaML is a purpose-driven organization, with a mission to apply AI to elevate human potential. We describe ourselves as an Applied AI Studio, meaning we operate as a venture studio for applied AI. We work with large organizations through Corporate Lab engagements, continuously examining different AI use cases and moving the most valuable models to […]

The goal of this project is to train and test a machine learning algorithm to detect pharmaceutical contaminants in water. Surface nanodroplets will be generated for several key compounds. These, will be used as independent extraction medium with varying contaminant concentration. The large number of droplets will enable collection of a high quality training data […]

Hydroelectric power units are more solicited today than in the past when they were usually operated at baseload. Because of this, their operating conditions include many starts and stops, and partial load conditions, resulting in premature and unpredictable failures. With a digital twin, these units can be properly monitored and accurately modeled in order to […]

Ring splints are regularly used to address swan neck deformity, boutonniere deformity as well as rheumatoid thumb due to their capacity to improve pain, function, and satisfaction. However, these ring splints do have limitations such as their price, lack of customizable attributes, and aesthetic dissatisfaction. For these reasons, 3D printing has gained traction as a […]

A Canadian-based company, Terrasol Geosolar Inc., has identified a unique opportunity to offer hurricane-resistant solar energy infrastructure for weather-ravaged areas of the world. Towards this functionality, there has also been significant market incentives to include bio-derived composite materials within the structure. However, current developments of natural fibre reinforced composites (NFRCs) in structural applications has been […]

The information and communication technologies (ICT) sector is an energy intensive and growing sector (with an increase of 9% annually). Recently introduced applications of the next-generation radio networks, namely 5G-and-beyond (5GB), have dramatically accelerated the use of ICT services in many economic sectors, creating a unique opportunity to improve our quality of life. In this […]