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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
SABRI Greenhouse Feasibility Study

This project involves developing a study to determine the feasibility of operating a greenhouse operation in St. Anthony, NL to address the food insecurity issue.

Read More
Developing innovative products for the construction & marine applications using FRP waste

Today, construction activities have resulted in the depletion of vast amounts of non-renewable resources that cause climate change which is one of the most pressing environmental challenges of our day. The construction industry is a major source of greenhouse gas emissions globally. Sustainable construction is now mainstream, necessitating the investigation of environment friendly construction material […]

Read More
Approche bayésienne en tractographie : modélisa

La recherche sur le cerveau se tourne de plus en plus vers des études qui consistent à observer un même groupe d’individus sur une longue période. De ces études, nous sommes désormais capables d’extraire une multitude d’informations relativement complexes (multi-dimensionnalité) sur le fonctionnement du cerveau. Or, les outils statistiques actuels ne permettent pas de considérer […]

Read More