The proposed research will develop cost-effective substrates for application in Surface Enhanced Raman Spectroscopy. The substrates will be made using self-assembly methods for nanomaterials in aqueous medium and a final step of simple filtration. The nanoscale material will provide high sensitivity as a SERS substrate for detection of specific chemicals and microbes. The developed SERS […]

Modern video games are composed of different types of artifacts, such as images, sounds, and software code. All these artifacts are developed at the same time by different teams. While the independent creation and modification of each artifact allows different teams to make changes without blocking each other from making progress, how artifacts are combined […]

Improving and optimizing a full scale prototype which is being used to develop electric vehicle control software

This 8-month project will help advance Planetary Hydrogen’s efforts to demonstrate and certify it’s SeaOH2 process by: 1. Explore the Canadian CDR policy landscape and developing a strategy to inform policy-makers of Ocean-based CDR methods; 2. Work with Ocean Scientist, regulators and other stakeholders (such as community groups, environmental non-governmental organizations and partner for-profit entities) […]

VueReal is currently developing LED technology that requires transfer of devices during fabrication to other sites. However, these devices are fragile. During the transfer process, an unacceptably large number of devices are damaged due to failures in their suspension systems. This reduces the fabrication yield and therefore increases production cost. It is not obvious whether […]

Learners.ai is pioneering the application of a new approach for financial services and eCommerce firms to scale their products/services and accelerate revenue using a data-driven approach. The project “Scalable Reveune Operations for Learners.ai” is aimed at implementing the go-to-market strategy for a scalable Revenue Operations service created by Learners.ai after successfully delivering results several clients.

Trimac faces a challenge in developing quality customer leads for our financial offering. The process we currently employing is tracking news published in industry newsletters and finding contact information for companies in the news item. This approach has been somewhat successful but improvement is warranted as it certainly has not identified the full universe of […]

MEGA InTech aims to maintain healthy workers and prevent injuries. This research will advance a smart insole to deliver analyses of ambulatory gait and posture. Specifically, signal processing and sensor fusion algorithms to deliver detailed metrics of gait and occupational ergonomics will be developed. The proposed methodology will leverage the partner’s prototype insole sensor hardware […]

Metal-based direct energy deposition processes ideally require feedback sensing of the deposition quality using camera detectors as they provide spatial and temporal state signatures of the process. Image processing algorithms are challenging to develop due to changing process operating conditions. Machine learning models have recently gained in popularity due to their ability to predict process […]

Lung ultrasound (LUS) is a portable, non-ionizing imaging method with high accuracy for numerous respiratory conditions.1-3 These properties allow LUS – unlike other lung imaging techniques – to be delivered at scale and outside of traditional healthcare environments that may allow for broadly distributed diagnosis, triage or prognosis of respiratory conditions.4–11 As training for LUS […]

Pharmacists are providing increasingly patient-centered clinical services such as Pharmacists Prescribing for Minor Ailments (PPMA). However, several factors delay pharmacists’ ability to implement PPMA including integration with workflow and time constrains. Technology solutions aim to support PPMA can be important innovative tools to help pharmacists to perform PPMA. The aim of this project is to […]

La factorisation matricielle nonnégative (FMN) est une méthode populaire d’analyse de données consistant à exprimer les données comme une combinaison linéaire nonnégative d’un petit nombre de facteurs caractéristiques nonnégatifs. Cela permet de réduire la taille des données, de filtrer le bruit présent dans celles-ci et de mieux les comprendre et les analyser. Cette technique possède […]