Robust and Automatic Knee Cartilage Segmentation on MRI Images Segmentation robuste et automatique du cartilage du genou sur des images d'IRM

In order to produce orthopedic knee prostheses for a patient, it is necessary to produce an accurate three-dimensional model of the knee cartilage. The overall goal of the project is to develop a new segmentation method of knee cartilage on MRI images that is both automatic and robust. Laboratoires Bodycad inc. is currently developing innovative technology for orthopedic domain. In this way, the company is a leader for image processing, CAD software development, and manufacturing domains.

Novel Approaches for Practical Machine Learning

Machine learning is a subfield of artificial intelligence that aims at producing computing models from observations (data), with no explicit coding made by humans. Recent advances have illustrated a strong potential of machine learning, with the potential of being a disruptive technology in many domains. For the current project, we are investigating techniques for making practical machine learning.

RF Characterization of High Frequency Channels for 5G Dense Indoor Small Cells

The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence.

Deep learning for tooth wear monitoring of mining shovels

The main objective of this project is using deep learning algorithm to enhance the current state of the art tooth wear monitoring system used in mining shovels. Unlike the current approach, the proposed deep learning method operates by building a model from input images in order to make data-driven predictions. We use deep learning approach to identify the pixels that belong to the teeth-line in each video frame taken by camera located on the mining device.

Evolved Radio Access for Wireless Cellular Communication Systems - Year Two

The continuously increasing demand for wireless access, driven by the increasing requirements of our connected society, is pushing current wireless cellular communication systems to the limits of their capacity. The objective of this project is to continue the successful collaboration with our industry partner (Telus Corporation) to further contribute to the evolution of current generation wireless cellular communication systems (4G LTE) along with the development of next generation wireless cellular communication systems (5G) to meet current and future requirements of our connected society.

A Quality Assurance Framework for Care Process Management

Online business processes are different from traditional web applications and typical healthcare applications. Online business processes involve the collaboration of multiple user roles interacting with multiple services in parallel.

The SAVI Smart Edge Deploying D2D with Massive Multiple In Multiple Out (MIMO) Antenna Architectures

The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence.

Stochastic Modelling of One Time Programmable Memory Bit Cell

Programming of long-term digital memory storage devices is currently not an optimised process. This is due to the fact that the exact physical mechanisms that allow for a data bit to be reliably stored and read are not well understood. As a result, in order to produce high quality, long-lasting, reliable memory cells, the manufacturer must perform extensive testing and
iterative modifications on each generation of products. Our project aims to develop a software model that simulates the physics and chemistry of memory device structures on an atomic level.

Optical liquid fingerprinting for dynamic process monitoring in nanofabrication

Color-based sensing enables sensors to be utilized in more places and by more people, particularly those who do not have access to or required training for sophisticated and expensive sensing technologies. This cost-effective sensing process is based on the change in an indicator’s color in response to the stimulation that is being sensed. This project seeks a novel
application for a color-based sensing method (Optical Liquid Fingerprinting technology), previously developed by the project’s partner organization.

Internet of Smarter Things: A Data-driven Perspective

All over the world, sensors, smart objects, and other devices are connecting through the reach and power of the Internet. And they are dynamically generating, analyzing, and communicating intelligence to increase operational efficiency, power new business models, and improve quality of life. Connecting the unconnected is the Internet of Things (IoT). The project would focus on researching IoT technologies in a selected segment of the IoT spectrum of possible devices and applications.

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