Corn is widely used in many industrial sectors, especially in the production of alcohol in countries like Canada. Corn production involves heavy application of chemical fertilizers which accounts at least 20% of the energy costs to a producer. Usage of biofertilizers may be one alternative for reducing production costs. The objective of this proposal is […]

De nombreuses ONGs implantent des plans éducatifs dans des pays en voie de développement. Habituellement, des indicateurs de l’atteinte des objectifs sont proposés afin d’évaluer les retombées directes du projet. Mais qu’en est-il des retombées indirectes auprès des populations impliquées dans le projet? Comment utilisent-elles les nouveaux apprentissages dans les autres domaines de leur vie? […]

Le récents progrès dans le domaine de la numérisation 3D (SLAM, Lidar, lumière structurée, photogrammétrie, etc.) ont ouvert de nouvelles portes quant à la possibilité de réaliser des maquettes numériques interactive. Cependant, les outils traditionnels pour traiter les données brutes (nuage de point) de ces capteurs ne permettent pas de générer un modèle numérique adapté […]

Humic Land is a multi-purpose, 100% organic fertilizer that was produced from black peat using innovative technology that protects live soil microorganisms. It contains a microbial consortia that may produce plant-growth promoting substances, thereby acting as biological promotor of crops growing in stressful conditions. This research will evaluate three mechanisms that could explain Humic Land’s […]

HIV prevention is a growing, and essential facet, of halting the HIV epidemic. Reducing the transmission of HIV and ensuring individuals are tested and put on antiretroviral therapy (ART) cannot effectively and efficiently be accomplished without decisions that are founded on high-quality evidence. Current projects focus on data availability and use among decision-makers and actors […]

Data acquisition at scale implies missing values: in the biological signals as well as in the demographics and questionnaire data. These missing values are structured –missingness appears as blocks– and often causal –more missing health information for lower income individuals. While there are many works on the treatment of missing values in the clinical trial […]

Similar to current efforts in the automotive industry, there is a substantial interest in developing fully autonomous trains. One of the key steps towards enabling autonomous operation is being able to accurately estimate train position and speed. In addition to this, better estimates will also increase safety and reduce distance between trains, allowing more frequent […]

Robust perception in all weather conditions is a critical requirement for autonomous vehicles. This project proposes fusing gated and conventional RGB camera images for robust scenes encoding, depth estimation and trajectory prediction. Conventional approaches using lidar and RGB camera fail to perform robustly in rain, fog and snow. By extending existing computer vision algorithms to […]

Most of the drugs used to treat cancer have been originally identified from natural sources. While Nature did a great job selecting those compounds, some of them have shown limitations in the treatment of cancer and others have shown to be insufficient on some cancer types. Furthermore, it exists a gigantic number (nearly infinite) of […]

APN in Quebec City faces a high fluctuation of the lifespan of tools in machining operations such as milling and turning. This hampers production planning, since the number of necessary tools for a job as well as their lifetime cannot be well predicted. Previous investigation on this challenge could not determine a reason for this […]

The goal is to create a conversation loop between 3D designers and artificial intelligence programs. This will help the AI provide suggestions to the designer, while the designer provides the AI with feedback. This can help make it easier for designing complicated objects as well as complicated textures that belong to the surface of 3D […]

When faced with complicated treatment decisions, patients and health care providers can use patient decision aids to gain information about options and potential outcomes. Treatment for rare autoimmune diseases like systemic sclerosis can be overwhelming as there may be more than one treatment option, without one being clearly better than another. There are currently no […]