Artificial intelligence for automated identification of cannabaceae family plant diseases and gender on low-resource devices

Automated and early identification of plant diseases from their leaves is an important task in agriculture and can have positive impacts on crop yield and quality. Crop pathogens and pests reduce the yield and quality of agricultural production. They cause substantial economic losses and have a direct impact on food security and nutrition worldwide. Due […]

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Standardized Ai-Based Corporate Sustainability Reporting

Corporate sustainability reporting is becoming mainstream. An increasing number of investors considers and integrates environmental, social and governance (ESG) criteria in their investment analyses. However, corporate sustainability data is still costly, not standardized, and sometimes even missing, Hence, the project will analyze how AI can be used for standardized corporate sustainability accounting and reporting. Based […]

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Béton bitumineux

Le projet de recherche a pour but de valoriser les sous-produits et résidus miniers de l’industrie de l’aluminium. Pour rendre possible cette valorisation, le projet consiste à évaluer des options d’utilisation des résidus de bauxite et sous-produits, comme ingrédients dans les recettes d’enrobés bitumineux (enrobés de surface, enrobés de liaison et grave-bitume). L’objectif principal est […]

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Quantum Deep Neural Nets for Spatial-Temporal Problems

Atmospheric behaviour will change substantially with Climate Change and is one of our generation’s most pressing challenges. The world requires accurate estimates of future the impacts from droughts, floods, heat waves, increase hazards, from freezing rain to hurricane to plan, prepare and mitigate. Combatting climate change requires reducing our emissions in a strategic way. Current […]

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Optimizing the delivery of ministring DNA (msDNA) to the central nervous system for use in gene therapy applications

Gene therapy has risen as one of the more promising treatment options for disorders of the central nervous system (CNS). Using modified viruses to deliver genetic material has shown success however has several disadvantages including increased safety risks. Using a non-viral vector system has the potential to overcome many of the challenges that arise with […]

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Zooplankton species composition during hatching and development of Atlantic whitefish (Coregonus huntsmani) in the upper Petite Rivière watershed, Nova Scotia

This research project aims to build a greater understanding of the diet of endangered Atlantic whitefish. The only wild population in the world inhabits three lakes of the Petite Rivière watershed in Nova Scotia. The species has great historical significance being the most primitive of all whitefish species in Canada. Yet, there is little known […]

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Object Detection and Terrain Mapping in Industrial Scenes

Computer Vision techniques and algorithms, especially those involving deep neural networks, are now predominant in robotics and autonomous driving. These algorithms have found immense success in urban scenes for autonomous driving, and visualize 3D maps of cities. However, like most deep learning solutions, they do not generalize well over a large varieties of inputs. Thus, […]

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Estimating environmental performance of dehydrated poultry manure production using a Life Cycle Assessment approach

The sourcing and production of crop nutrient product used in agriculture have an environmental impact. To move toward a sustainable food system, it will be important to have a clear understanding of the environmental impacts associated with crop nutrient product. Dehydrated poultry manure is an increasingly popular crop nutrient product used within organic agriculture. Although […]

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Reusable carboxylic acid solvents

The proposal focuses on using safe, non-toxic fatty acids as bio-derived and recyclable solvents for extraction of biomass polymers/waste plastics (e.g. wood chips, woody or agricultural biomass, algae, oil bottles). We will employ a new approach using fatty acids that are responsive to pH changes such that their properties can be switched from hydrophobic to […]

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Development of innovative precast concrete node for wood construction

Rapid of urban population and limited raw material and energy resources increase the demand for more sustainable structures. An initiative was taken by many governments, including Canada, to introduce more timber structures to the public buildings. This initiative can save a considerable amount of energy required to produce common construction materials such as concrete and […]

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Otolith microchemistry-based identification of migration life history variation in Pacific Herring (Clupea pallasii) in the Salish Sea.

The proposed work aims to use the chemical composition of otoliths (ear bones) to differentiate adult migratory and resident Pacific Herring (Clupea pallasii) in the Canadian Salish Sea. The ability to tell the difference between residents and migrants will allow us to investigate what controls resident summer herring abundance in the Strait of Georgia and […]

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Optimisation de la rentabilité économique des échangeurs de chaleur géothermiques

En 2011, les professeurs Bernier, Kummert, Marcotte et Pasquier de l’École Polytechnique de Montréal ont entrepris le développement d’un logiciel de simulation en géothermie (GHE_Sim). Ce logiciel utilise une approche spectrale afin d’accélérer le calcul de la superposition temporelle et une technique novatrice pour tenir compte adéquatement de l’interaction thermique entre les puits d’un même […]

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