Quantification de solvants traces dans un procédé vert de recyclage du polystyrène par spectroscopie vibrationnelle

Ce projet de recherche est intimement lie à l’optimisation et au contrôle qualité d’une technologie verte associée au recyclage du polystyrène (PS). Durant ce procédé, le PS contaminé provenant du consommateur ou simplement de rejets industriels est mis au contact d’un solvant qui a pour but de le solubiliser, puis d’un autre pour le précipiter. La connaissance de la concentration en mélange de solvants et PS à chaque étape de transformation est essentielle pour l’optimisation du procédé.

Metaheuristic Approaches to Feature Engineering and Model Architecture Optimization for Financial Time Series Prediction

Predictive modeling of financial data, especially trading activity or asset prices, is a very challenging task. There are a number of novel approaches to feature engineering, data preparation and model architectures that aim to mitigate some of the problems that arise from non-stationarity and other issues typically found in financial time series data.

ADAJ- Pratiques juridiques controversées

La présente demande concerne le chantier de recherche sur les « Les pratiques juridiques controversées » :
Une partie des coûts de la justice est attribuable à des pratiques situées aux limites de la déontologie professionnelle : rapport collusoire entre praticiens, multiplication des dépenses douteuses, honoraires abusifs, exploitation de l'ignorance des justiciables, engagement dans des procédures qui auraient pu être évitées par un recours judiciaire à la Conférence de règlement amiable, introduction de procédures dans le cadre de dossiers dont les fondements en droit sont clairement faible

Identifiability of latent factors through multiple self-supervision

Human perception has developed the ability to decompose scenes into fine grained elements. This lays the foundation for strong generalization to new situations where the base concepts can be recomposed to interpret objects never seen before. While it has been shown that, in the general case, proper decomposition is not possible, new paradigms provide provable decomposition in constrained environments. We hypothesize that the multiple sensory systems of human perception offer a strong signal for decomposing scenes in a proper way.

Optimization of sentence classification for insurance applications

This research is carried out on the topic of natural language processing and specifically on word representation on Question Answering tasks. The state of the art in Question Answer task is Google’s Bidirectional Encoder Representations from Transformers (BERT) language model.
Koïos Intelligence is interested in fine-tuning this model for their closed domain artificial intelligence (AI) virtual assistant, targeted at insurance and financial applications.

Discount Pricing Recommendations

It is well known that retailers have razor-thin margins. A few discount percentage points can make the difference between a bad and an excellent year. The goal of this project is to make sure that Altitude Sports’ prices are optimized to satisfy customers and maximize margins, all year long. There are a lot of factors influencing pricing decisions such as official and unofficial MAP (Minimum Price Policies enforced by brands), stock velocity, season stock levels, stock scarcity, cashflow and price elasticity. Furthermore, price elasticity in itself is highly variable.

Screening of bacteriophage receptor on mutant bacterial libraries

Phagelux has developed a cocktail of bacteriophages (bacterial viruses) that treat infections with bacteria resistant to antibiotics. During the curse of treatment, bacteria may become resistant to bacteriophages included in the cocktail. This project aims at determing the bacteria surface markers on which bacteriophages can bind and start their therapeutic function. This will help Phagelux to improve the cocktail by adding other bacteriophages that can bind on other surface not targeted by the bacteriophages included in the existing cocktail.

Computer Vision for Crop Weed Identification

Aid in the development of a Machine Learning Model for utilization by an Agricultural Robot. This Robot performs several tasks, primarily the mechanical removal of weeds from vegetable farms. Therefore, the machine learning model is concerned with informing the robot of locations of interest points of the weed and crop plants, as viewed from several sensors mounted on the robot. Other sensors of the robot, such as GPS, and wheel odometry, can be brought to bear as well.

Natural Language Processing for Automated Classification and Analysis of Aviation Safety Reports

The aviation industry connects people, markets, and cultures around the world and aviation is the key to ensuring that air transport continues to play a major role in driving sustainable economic and social development.

L'utilisation potentielle de champignons mycorhiziens arbusculaires et de Trichoderma pour augmenter le rendement du canola et réduire les stress biotiques

Le canola est devenu l’une des plus importantes cultures d’oléagineuses au monde et la denrée la plus rentable pour les agriculteurs canadiens. En 2018, 9,4 millions d'hectares de canola ont été plantés au Canada. C’est une industrie de 26,7 milliards de dollars par an, créant des emplois pour plus de 250 000 personnes. Une alternative aux traitements conventionnels pour limiter les pertes et potentiellement améliorer les rendements, consiste à utiliser des bioinoculants.

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