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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Reinforcement Learning for Aviation Training

This project seeks to explore the use of a class of artificial intelligence algorithms called reinforcement learning for the purpose of aiding the training of new pilots. In the process, we seek to “teach” an algorithm how to fly an aircraft by exposing the AI pilot to a virtual environment and providing it with flight […]

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The Next Generation Agriculture: Botanical extracts and essential oils as the new antimicrobials against microbial contaminants and diseases of Cannabis

The majority of license producers (LP) Cannabis producers have witnessed evidence of powdery mildew and grey mold and bud rot diseases. Plant yields and ultimate profitability can be severely undermined by these diseases. Medicinal plants produce essential oils in the form of secondary metabolites. The essential oils have the potential to be used as antibacterial, […]

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Biparental haploid cells to generate genomically designed offspring

In natural selection, differential fitness relies on the chromosomal shuffling during meiosis that enables the production of haploid gametes that are genetically different. However, meiotic-induced genetic variability can be an economic burden to the animal breeding industry since offspring often do not inherit the most desirable genes from their parents. Although genomic markers are currently […]

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Ré-optimisation en temps réel pour la réfection de navires

La planification de la réfection d’un navire est une tâche difficile qui requiert un effort considérable en termes de ressources qu’il faut gérer. Elle comprend plusieurs centaines d’activités d’inspection, de désassemblage, de réparation, de remplacement, de reconversion, de modernisation et de réassemblage. De plus, il faut prendre en compte les contraintes d’espace qui limitent le […]

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Analyse et mise en place d’un processus de gestion et d’optimisation de campagnes publicitaires sur les médias sociaux dans le cadre de petites moyennes entreprises

Le projet consiste à optimiser les pratiques de gestion de la publicité sur les médias sociaux (SMM) pour plusieurs clients de l’agence de Marketing Numérique Click & Mortar. Le SMM inclut plusieurs pratiques d’optimisation de la présence sur les réseaux sociaux tels que Facebook ou Instagram. Les algorithmes sophistiqués utilisés pour filtrer le contenu publié […]

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