Combination of multi-horizon models for demand forecasting

This project aims to develop a retail demand forecasting model that can both handle the long-term and short-term forecasting, and adjust its parameters as more data come in. General long-term prediction models are relatively precise because the context often remains same over time, but can not quickly adapt to unforeseen events, like the global pandemics. […]

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Énergie transactionnelle et client participatif : portrait des initiatives extra-Québec

Partout à travers le monde, le marché de l’énergie se renouvelle constamment afin d’assurer une bonne efficacité et fiabilité. Qui plus est, des citoyens choisissent d’être plus proactifs et autonomes par rapport à leur consommation d’énergie en la produisant eux-mêmes (prosommateurs). Parmi les stratégies émergentes sur le marché, les échanges d’énergie en pair à pair […]

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Real-time Transcription and Knowledge Extraction of Video Consults

Dialogue is Canada’s leading telemedicine provider, founded to improve well-being by using technology to deliver excellent care. Dialogue is a pioneer of virtual health care dedicated exclusively to organizations that want to improve the health and well-being of their members and families. We provide effective health solutions through outstanding health care experiences and a focus […]

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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 […]

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Identification des protéines cellulaires impliquées dans l’effet antiviral des polymères d’acides nucléiques (NAPs) lors d’une infection par le virus de l’hépatite B (VHB) (PARTIE-II)

L’hépatite B est une affection hépatique causée par le virus de l’hépatite B (VHB) qui peut évoluer sous une forme chronique et exposer les malades à un risque important de cirrhose et/ou de cancer hépatique. Malgré un vaccin efficace, le VHB affecte de façon chronique plus de 270 millions de personnes et cause plus de […]

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Studying the oxygenation of 3D printed pancreatic tissues

Most people with type 1 diabetes control their blood sugar levels through frequent blood glucose monitoring and insulin injections or infusion. Insulin therapy is life-saving but also life-altering and leads to decreased life expectancy. Instead, insulin-producing cells could be transplanted in devices which would prevent their rejection by the immune system. The design of these […]

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Unifying single-image lighting estimation

We present a method for automatically estimating the lighting conditions from a single image. As opposed to most previous works which proposed methods that deal with individual aspects of the problem (e.g. indoors vs outdoors, parametric vs non-parametric), the proposed method unifies these ideas into a single, coherent framework. Our method will automatically estimate both […]

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Geomicrobiological assessment of advanced customizable leach columns

Acid mine drainage (AMO) is a significant environmental concern at many hard rock mines. Laboratory-based predictive tests are used to determine if AMO will be generated by mine wastes, but these tests do not generally examine the role of microbes in acid-generating processes. This study will extend the capabilities of the advanced customizable leaching columns […]

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Modelling Acute Respiratory Distress Syndrome (ARDS) in Precision Cut Lung Slices

With the support of Mitacs, Dr.Ynuk Bossé’s laboratory and SCIREQ will collaborate to refine the techniques and instrumentation needed to improve Precision-Cut Lung Slices (PCLS) studies. PCLS are thin organ slices prepared from fully developed organs. They represent a “mini-model” that closely resembles the whole lung in both anatomical structure and rich cellular environment. Dr.Bossé […]

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AI powered mobile application to detect plagiocephaly and craniosynostosis in infants

Technology can be a valuable tool to help physicians improve the care they provide for their patients. We set out to determine if an AI powered mobile application could help primary care physicians detect clinically significant positional plagiocephaly and/or craniosynostosis during regular well-baby visits. The intern will directly help in planning, conduction, and statistically analyze […]

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Implementation and Characterization of a Prototype of Optical Free-space Interconnect for Space Applications

As we advanced into the information age, the need for high capacity communication channels is becoming ubiquitous. As the next generation of satellites is being deployed there is a need for efficient interconnections between them, especially for those forming low earth orbiting constellations for the coming Internet-of-Space applications. The limited radio frequency spectrum available is […]

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Tightly coupled visual-inertial-LI DAR SLAM for real time application

Since Amazon robotics expanded the use of drones to package deliveries to customers, drone applications have been expanded to many industries along with its ability to perform various tasks autonomously. The fundamental technology of drones’ autonomy comes from perceiving its surrounding, creating its own map based on onboard sensors and estimate its location within the […]

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