Apprentissage automatique pour la résolution de problèmes de planification de rendez-vous dans des tournées de véhicules

La planification de rdv à domicile (infirmières ou pour rdv de techniciens) est complexe. Elle nécessite des compétences géographiques et une connaissance métier de répartiteur. Ce processus prend énormément de ressources. Ce projet vise donc projet à concevoir une méthode de suggestion d’horaire de rendez-vous sans avoir à réoptimiser de lourds emplois du temps.

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Enhancing software developer and user productivity

This project will investigate how software developers work with structured information. It will use information about that interaction to improve tools needed by developers. It will assess whether those tools improve the productivity of software developers. The project will also compare the access patterns of users of business intelligence applications to those of developers to […]

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Design and development of a benchtop ophthalmic device for the treatment of vitreous floaters.

PulseMedica is developing a medical device platform to treat vitreoretinal eye diseases that affect over 500 million people worldwide. Our device consists of a state-of-the-art 3D imaging and surgical platform that allows for comprehensive patient treatment including machine learning based disease detection, surgical planning, surgical treatment, and post-surgery evaluation. This device uses multiple laser-based imaging […]

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Improving Community Care Outcomes with Data Analytics

Practicare aims to leverage technology to improve community care outcomes through a holistic lens of worker and organizational excellence. The company plans to directly tackle the #1 problem articulated by both care organizations and the clients that they support: the availability, skill, and turnover of care workers; and the direct impact this has on community […]

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Maritime forecasting using machine learning and deep learning

The project contributes to the statistical, machine learning and deep learning fields from different aspects. First, we implement, document, and compare statistical, machine learning and deep learning solution for maritime market forecasting. This is the first attempt to utilize machine learning for this purpose. Moreover, we will present an enhanced explainable method that describes the […]

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Evaluation of amendments for enhanced, in-situ bioremediation of hydrocarbon-impacted soil and groundwater

The overall goal of the project is to contribute to the advancement of safe and sustainable environmental remediation through increasing knowledge of catabolic processes occurring during bioremediation and how engineered amendments may enhance these processes. To achieve the overall goal, research activities will investigate catabolic processes involved in the bioremediation of petroleum hydrocarbon- (PHC) and […]

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Innovation tarifaire pour la diffusion du livre Notre ville permaculturelle

Fertiles est une jeune entreprise spécialisée en permaculture, un méthodologie visant à prendre comme modèle la nature pour créer un monde plus équitable et durable. Pour cela, Fertiles accompagne des organismes dans leurs projets socioécologiques via l’acquisition de connaissances en lien avec l’agriculture ainsi que des outils de gouvernance partagée, l’application du principe de tarifs […]

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Tissue-constructs to predict optimal vaccine response in neonates.

Vaccines are one of the most effective methods for protection against life-threatening infections such as hepatitis B. Due to the difficulties associated with extensive clinical trials on younger population groups such as infants and newborns, vaccine research is primarily conducted on adults. Therefore, there is a significant gap in our current knowledge of early-life immune […]

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Design of an efficient DOCSIS 3.1 upstream cable modem termination system receiver operating in OFDMA and S-CDMA modes

The widespread availability of broadband internet has transformed Canadian life. However, the increasing volume of data traffic strains the “last mile” access networks that deliver broadband internet to individual premises. The cable industry has responded with updates to the dominant standard for cable modems (CMs) and cable modem termination systems (CMTSs), known as DOCSIS. The […]

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Multi-modal Defect Detection of Fillet Joints in Gas Metal Arc Welding

Failure in pipelines may have financial and life-threatening consequences. High-quality weld joints in pipelines can avoid these consequences and improve the company’s productivity and reputation. To improve the weld quality, an efficient solution is to detect the defects. A collaboration of human and robots can provide an accurate, robust defect detection system. This system requires […]

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