Low Dose Computed Tomography Denoising Using Deep Learning

CT (Computed Tomography) scans are widely used medical images used to diagnose disease such as cancer. CT Scanners pass x-rays through the body in order to generate cross-sectional images. Unfortunately pro-longed exposure to radiation (via x-rays) can damage the body, and thus one aims to minimize the x-ray dose they receive. However, modern CT scanners […]

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IoT Big-data-based network performance analytics

The main objective of the project is to upgrade the existing system at Cheetah Networks to make use of Canadian cellular CAT M1 monitored network data to develop innovative QoE analytics that can be used to provide actionable insights. The system will explore applying new techniques to capture in real-time QoE visibility into experiences locally, […]

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Silicon photonic thermal phase shifter for on-chip spectrometer

Luxmux sensors will monitor steam quality and water quality for in-situ Thermally Enhanced Heavy Oil Recovery. In Canada, 2 billions of kilograms of steam are produced per year for heavy oil recovery and this amount is expected to double in the next ten years. Each year, heavy oil producers spend $2.3 billions on natural gas […]

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Further investigation of Paced Electrogram Fraction Analysis (PEFA)

The goal of this project is to develop a faster and more accurate way to detect ventricular tachycardia using an algorithm to analyze the signal results from Paced Electrogram Fractionation Analysis (PEFA); ideally real time through use of a basket catheter. St Jude Medical, our research partner, creates medical hardware specifically geared towards detecting and […]

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Diagnosing Security Risks in an Industrial Control System using a Novel Real-Time Device

The integration of control system workstations with wireless networks in critical infrastructure systems raises a major challenge as it now requires the ability to detect cyber security threats which could ultimately cripple the organization’s network. Cyber risk management and the ability to apply appropriate countermeasures requires the ability to predict, restrain and detect threats, which […]

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Sensor Development for Intelligent Apiary

This project will design an Apiary Management System to control and study environmental conditions that affect beehive health and honey production. Several efforts will be undertaken in developing this intelligent hive concept. In-hive environmental sensors will be implemented and thermal backplane will be developed to regulate the temperature within the hive. Sensors will be installed […]

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Human Activity Analysis in Sports Videos

Automated human body pose estimation and activity recognition in videos is still one of the challenging problems in computer vision. Generally, it is becomes a significantly difficult task in real world applications due to camera motion, cluttered background, occlusion, and scale/viewpoint/perspective variations. Moreover, the same action performed by two persons can appear to be very […]

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Exploration of the cloud programming paradigm applied to IMS

For economical and simplification purpose Operators in the Telecom market are looking to move as much as possible of their infrastructure from traditional deployment to Cloud deployment. However Cloud deployment of IMS still need to be defined and developed. This project aims at bringing further the knowledge for such a deployment and helping guide future […]

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Remote slit-lamp diagnostic tool

The main objective of the project is to provide the Institut de l’OEil des Laurentides (IOL) with the capability of receiving patients from remote locations without requiring the patients to physically come to the IOL. A remote diagnostic tool would allow the IOL to improve the comfort of patients as well as expand its activities […]

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