Augmentation de données et optimisation de l’espace latent d’un auto-encodeur variationnel (VAE) pour la détection de défauts et le pronostic des alternateurs hydrauliques

L’objectif du projet est d’automatiser la reconnaissance des signaux acoustiques et vibratoires d’une part, et des signaux de décharges partielles d’autres part, et ceci à l’aide d’un modèle d’apprentissage profond. Cette reconnaissance est la première étape du développement d’un modèle de pronostic et de suivi de l’évolution de la dégradation des alternateurs. Ces signaux sont […]

Read More
Portrait photo segmentation and generation with Deep Neural Network

In this project, the main purpose is to develop a tool for facial image anonymization by replacing the face in an image with a fake, generated face. To have realistic looking generated images, it is essential for the generated face to have a similar pose to the original one and to be seamlessly harmonic to […]

Read More
Object occlusion detection

Sometimes an object is partially hidden by a physical object like fingers, book etc. or by digitally pasted artifacts like blurringof an area. The intern will be working on detecting these types of digital and physical occlusions on an object. At Jumio we encounter documents that are hidden or occluded by such masks. These documents […]

Read More
Predicting acoustic and pollutant emissions from combustion equipment using experiments and machine learning

Several engineering equipment ranging from those used for portable power generation, to medium scale gas turbine aircraft engines, and large scale land-based power generation units burn fuel to produce either electric energy or generate propulsive force. This energy conversion takes place inside a combustion chamber which emits noise and combustion pollutants. The objective of the […]

Read More
Automation & Orchestration for Improved Security Communication

Speed is incredibly important when addressing issues with computer security. The longer the time between the attack’s start and resolution, the more assets that attackers can steal from a company. There are various security platforms that can alert a company to a cyber-attack. This research project aims to combine knowledge from all these platforms together […]

Read More
Automated AI-Based Phishing Solution

Phishing emails are a common form of a cyber attack. Attackers use leading content to fraud victims, such as fake banking information, forged Google Alert messages, and so on. Phishing attacks have been around for years, causing countless serious consequences, such as financial losses and confidential documents leaks. As of now, there is still no […]

Read More
Identifying forests with old growth potential in the Credit River Watershed

Old growth forests provide important ecological services including carbon storage and habitats for a diverse array of species, yet they are often rare across the landscape. These forests are often challenging to identify due to the lack of concrete definitions of what constitutes old growth, as well as the lack of understanding of the typical […]

Read More
Multi-Domain Recommendation for Restaurants Using GNN Models

The student will develop a recommendation system for restaurants, proposing food selections to customers. This system will be based on GNN models to predict a customer’s need based on both user and order data. The data include previous purchases, data of dishes and similarity of users collected from online food orders. In the first phase […]

Read More
Integrating ethno-cultural equity, diversity, and inclusion in culture planning

The research question at the centre of this project is, “how can culture planning integrate equity, diversity, and inclusion (EDI)?”. The project will focus on ethno-cultural dimensions of EDI in culture planning. The project aims to explore how different ethno-cultural communities are engaged in the culture planning process and how culture planning outcomes impact these […]

Read More
Methods development and applications for neuromelanin-sensitive MRI

Dopamine and noradrenaline are neurotransmitters that are released from neurons located in the substantia nigra and locus coeruleus. Therefore, these brain structures have the unique property of containing high concentrations of neuromelanin, a dark pigment that can be visualized with specialized MRI sequences. The neuromelanin-sensitive MRI signal has been used to visualize degeneration of these […]

Read More