A methodological approach to the use of data-supported environmental factors in support of the introduction of autonomous air vehicles in a shared airspace

The evolution of aerospace technologies and automated systems has been accompanied by the phenomenon of “de-crewing”. A large body of current research focuses on how to move to single-pilot operations (SPO), but a major barrier to the implementation of SPO and other autonomous commercial aircraft operations is that advances in human-machine interactions and human factors […]

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Development of rheological methods to investigate the viscoelastic behavior and stability of paints

Paints are complex colloidal suspensions that usually contain binders (resins), solvents, pigments and rheological modifiers. From production to applications, these raw materials should remain uniformly mixed and stable during pumping processes and storage, as well as after application with brushes, rollers, spray guns, etc. It is very important to know how the paint behaves under […]

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Development of rheological methods to investigate the viscoelastic behavior and stability of paints – Year two

Paints are complex colloidal suspensions that usually contain binders (resins), solvents, pigments and rheological modifiers. From production to applications, these raw materials should remain uniformly mixed and stable during pumping processes and storage, as well as after application with brushes, rollers, spray guns, etc. It is very important to know how the paint behaves under […]

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Automatisation des achats dans les PME

Dans la plupart des organisations, surtout les PME, l’automatisation des achats passe par l’acquisition d’une solution informatique qui supporte les processus d’approvisionnement. Malgré la complexité des achats de services informatiques et l’importance des dépenses associées, on ne connaît pas suffisamment les spécificités de l’achat des solutions TI ni la façon de minimiser les nombreux risques […]

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Public Policies and Subjectivity of Black Women

This research analyzes the manner in which black women from the periphery of São Paulo (Brazil) deal with state-funded social policies in their daily lives. In particular, it looks at the challenges of navigating complicated bureaucratic procedures for marginalized and often undereducated urban populations, and the impact these challenges have on their everyday life. This […]

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Conveyor throughput optimization at a distribution centre

FedEx Supply Chain, the 3PL provider for the Canadian Tire distribution centre located at Coteau-du-Lac, Quebec intends to improve its delivery performance to its customers’ retail stores, especially during the high-volume periods of the year. The focus is on improving the throughput of the conveyor system, as it is considered to be a critical part […]

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Production of cannabinoid in bioengineered microalgae

Plant natural products (PNP) are important resources for pharmaceutical and food industry. In the last decades, the market price of several PNP inflated because of the limited amounts produced in plants and the challenges in growing healthy crops. To overcome this problem, our team developed a multitool box of molecular methods to transform marine algae […]

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Production of cannabinoid in bioengineered microalgae – Year two

Plant natural products (PNP) are important resources for pharmaceutical and food industry. In the last decades, the market price of several PNP inflated because of the limited amounts produced in plants and the challenges in growing healthy crops. To overcome this problem, our team developed a multitool box of molecular methods to transform marine algae […]

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Correction du biais de la sous-captation des précipitations et séparation des précipitations et séparation des précipitations solides et liquides

La prévision des apports en eau dans les bassins versants du parc de production d’Hydro-Québec est très importante car elle permet de quantifier la production hydro-électrique. Pour faire ces prévisions, on utilise des modèles hydrologiques qui sont alimentés par plusieurs données climatiques dont les plus importantes sont les précipitations. Une meilleure prévision repose sur la […]

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D2K+: Deep Learning of System Crash and Failure Reports for DevOps

The objective of this project is to develop techniques and tools that leverage artificial intelligence to automate the process of handling system crashes at Ericsson, one of the largest telecom and software companies in the world, and where the handling of crash reports (CRs) and continuous monitoring of key infrastructures tend to be particularly complex […]

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Synthesis of Thiol-PEG-PBS-grafted gold nanoparticles for the treatment of head-and-neck cancers

Cancer represents a major public health problem, representing about 13% of deaths worldwide, accounting for more than seven million deaths a year. Surgical excision, chemotherapy, and radiotherapy encompass the forefront of antineoplastic therapy; however, it is well known the numerous adverse effects related to these therapeutic modalities. Some treatments have enough potential to help or […]

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Development of an NLP Sales Assistant using Machine Learning Techniques

The main goal of this project is to develop machine learning and natural language processing approaches to help customers to communicate their preferred brands and/or retailers via Heyday solutions. These approaches will automate answers and help to humanely engage with customers. In order to reach these objectives, some challenges will be tackled such as automatically […]

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