Uptime Energy Control Procedure Using Machine Learning

In a time where energy use awareness is more and more prevalent due to its significance in global warming, all sectors of society are putting effort to participate in finding new ways to reduce energy consumption. The industrial sector in Canada consumes nearly 1/3 of total energy. A challenge for industrial organizations is to define […]

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Advanced Nystagmus System (ANSTM) as objective diagnostic tool for mild traumatic brain injury (mTBI) and concussion: A validation study using structural and functional magnetic resonance imaging

Annually, 2 million individuals in North America suffer mild traumatic brain injury (mTBI) or concussion (cost: $75 billion), with 200,000 in Canada. An objective tool is required to distinguish concussed subjects acutely from ontrols, and to predict who will develop chronic symptoms. The frontal lobes, the corpus callosum, and the thalamus play key roles in […]

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Optimisation de la puissance et de l’énergie spécifiques des cellules au lithium-ion par métaheuristique combinée à la modélisation

Le présent projet vise l’amélioration des performances des cellules au lithium-ion servant au stockage d’énergie électrique. L’énergie et la puissance des cellules au lithium-ion font parties de leurs propriétés les plus importantes. Une optimisation sera donc effectuée afin de maximiser l’énergie ainsi que la puissance de ces dispositifs. Le travail sera réalisé pour les trois […]

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Développement d’un outil d’analyse de texte assistée par ordinateur permettant de classifier les entreprises dans l’écosystème de la 5G au Canada

Prompt doit identifier les PME qui ont un fort potentiel de croissance au sein de l’écosystème canadien de la 5G. Dans ce contexte, la recherche propose d’exploiter une base de données textuelles. Elle est constituée par les sites internet de 7 000 entreprises. Cette base de données a déjà été construite par Prompt. Le premier […]

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Development of the Parasocial Identifier for Social Media

Since the introduction of radio and television, fans have had a connection to those they know in the media. These connections are called “parasocial relationships” and they are one-sided relationships, usually between a fan and a celebrity, that is usually not face-to-face. With the advent of social media, any person, or company, can become a […]

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Pelletization of Forest Wildfire Fuels in Western Canada

Forests in British Columbia have significant areas that need to be managed to limit the danger of fire and disease. Under current management approaches, there are few cost-effective options available to areas that are not already regularly harvested. A holistic analysis of pelletization of these materials could show that the sale of wood pellets, as […]

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Extending artificial intelligence in the operating room

Assessment of surgical data from an operating room is a complex process that may require significant resources such as expert input and advanced technology. Automation brings a considerable opportunity to greatly reducing these significant resource requirements – e.g., using computer vision software to detect clinically relevant actions during surgery. However, those detections should be interpretable, […]

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Automated Target Classification for Multi-Frequency Echosounders

The oceans cover the majority of our planet’s surface but much of their depths are still a mystery. Improvements in technology have allowed for the development of instruments on underwater platforms and autonomous gliders that are able to survey the world’s oceans. One instrument, called an AZFP (acoustic zooplankton fish profiler), emits high-frequency sonar pulses […]

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OPTIMIZATION FOR BUSINESS SYSTEMS AND CONVERSATIONAL ANALYTICS (Retail Personal Store Manager)

State-of-the-art forecasting: Demand planning is a critical part of a business’ operations. Traditional approaches to forecasting use statistical methods to predict future demand from past transactions, but do not take into account contextual data. However, there are good reasons to believe that contextual data – such as weather, events, product descriptions, sentiment analysis (from reviews, […]

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