It remains unclear if fishes that occupy Canada’s leading tidal energy test site in Minas Passage, Bay of Fundy, Nova Scotia, will be negatively affected by turbine installations. The objective of this project is to determine fishes’ interactions with operating turbines. Of approximately 70 species of fishes that interact with Minas Passage only three have […]

This research project aims at creating a robust, efficient and reliable conversational agent for the banking domain that will offer a high level of performance in both key areas of conversational agent architecture: Natural Language Understanding and Response Generation. Natural language understanding approaches, retrieval-based models, as well as deep learning will be used to develop […]

L’amélioration est processus (quelle que soit leur nature) est un souci constant des entreprises dans un domaine compétitif comme c’est le cas du domaine bancaire et financier. En 2018, cette amélioration est indissociable de l’intégration de l’analytique d’affaire. En exploitant à l’aide des méthodes appropriées les données de l’entreprise, des gains substantiels sont à escompter. […]

The purpose of this project is to conserve critical shorebird roost habitats at high tide in the Minas Basin of the Bay of Fundy in collaboration with recreational beach users, local businesses and tourism operators. The project seeks to develop long-term solutions for creating safe spaces for roosting shorebirds by identifying innovative strategies whose effectiveness […]

Wireworm (click beetle) has becoming a devastating pest for the potato industry in Prince Edward Island (PEI) and many places in the country and around the world. It is a soil born insect that can penetrate a large number of potato tubers, degrading their quality for processing. The problem is more difficult to control after […]

Machine learning (ML) is a method of training a computer to learn from data and predict future outcomes based on existing patterns in the data. This project aims to utilize various ML methods as new and potentially better analytics and predictive tools in the area of credit risk management for ATB. Given that data quality […]

Applications of wireless security approaches are increasing in number by the day. One such application is detection and interception of rogue aerial intruders. Drone technology is growing at a tremendous pace and is expected to be a $12 billion industry by 2021. Coupled with this growth comes the increasing threat of rogue intruders disrupting day-to-day […]

The main objective of this research project is to investigate, develop and evaluate state-of-the-art image processing and machine learning algorithms, which are suitable for accurate modeling and recognition from large-scale medical image datasets that are weakly labeled. In particular, we will focus on the learning of recognition models in medical image computing applications that are […]

This MITACS research project will focus on analytical techniques related to determining the gold geochemistry of the La Victoria property in the western Peruvian Andes. The La Victoria property is found along a major gold belt that is host to some world class deposits such as Yanacocha, Lagunas Norte, La Arena and Shahuindo. Based on […]

Based on the original Statistical Inventory Reconciliation(SIR) Test Method (Quantitative), K-folds cross validation is used to increase P(D) and decrease P(FA) by adjusting K, which are related to bias and standard deviation. There is a trade-off between bias and variance, with very flexible models (overfit) having low bias and high variance, and relatively rigid models(underfit) […]

Ce projet de maîtrise en ingénierie mécanique a pour but de prédire les paramètres optimaux nécessaires à mettre une poudre alimentaire dans un sac de transport via une machine industrielle. Cette étude passe donc par une recherche approfondie dans la mesure des paramètres comportementaux d’une poudre c’est-à-dire sa manière de s’écouler, de se compacter, etc. […]

Microarray testing allows high-volume analysis. This work will compare open-source software to in-house analysis methods within SQI Diagnostics. The goal is to enhance the performance of current assay designs and to inform and guide the next-generation of assay designs (ie 384 well plates) which will support SQI’s technology leadership position. After implementing a print run […]