Using Machine Learning to Classify and Access an Audio Database

Voices.com, the largest online marketplace of voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research will use machine learning to identify and train an NLP learnable parser. The second phase […]

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Prediction models for pain volatility and engagement patterns of mobile pain app users

Pain is among the top 3 most common reasons for seeking medical help. ManagingLife has developed a mobile-based app, called Manage My Pain, to help chronic-pain patients by providing a simplistic, customizable and comprehensive interface to track pain symptoms and pain experience at a frequency chosen by the users. ManagingLife is interested in understanding the […]

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Pairing of Machine-Learning Systems with Algorithmic Trading Strategies

EquitySoft Investments is a private wealth management firm in Vancouver BC specialized in developing and implementing proprietary machine-learning trading algorithms. Our Mitacs internship’s objective is to determine which machine learning model is best with which trading algorithm variant. By creating a genealogy (multi-dimensional Taxonomy) of pairs of machine learning model with trading algorithm variants, our […]

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Model-Aided Performance Analysis from System Traces

System performance can be analyzed by measuring its operation, and by studying a performance model. Each has advantages: measurements have fidelity to the actual system, while models have predictive power. This work will join the two approaches, by creating a model from data collected from traces. If successful, this model will help Ciena to understand […]

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Anticorrosion and conductive smart thin-film coating built by additive manufacturing

Corrosion is a phenomenon that can be only mitigated, not stop. Usually, paint is applied to the surface that needs to be protected from the environment. Sooner or later, it peals off or wear, leaving the surface unprotected. Besides protection from corrosion, the paint or coating rarely has other properties like being electrically conductive. Another […]

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A Vision-based system for intelligent monitoring of gait poses in dementia

Impairments of gait and balance often progress through the course of dementia, and are associated with increased risk of falls. Regular assessment of gait and balance could therefore be informative in tracking changes in functional status, and identifying individuals at a high risk of falling to allow for preventative measures. We have developed a technology, […]

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High Average Power – Frequency domain Optical Parametric Amplifier (HAP-FOPA)

The goal of this proposal is to make the most advantage of the recently developed technique of Frequency domain Optical Parametric Amplification (FOPA) by pushing this technology to unprecedented levels. The IP has been protected by the group of prof. François Légaré from INRS-EMT. The main inventor, Bruno Schmidt, has founded few-cycle Inc. to commercialize […]

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Data Poverty Project

In many developing countries, it is very difficult to survey vulnerable groups in a way that provides reliable research findings. These surveys also only give limited insights into the experiences of these populations. This project will develop a software program that can be used to model the probability of events occurring given the estimated probability […]

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Research into the Design and Development of Inclusive Digital Media Technologies

This project, a collaboration between Ryerson University and Pear Square, will be researching what would enable businesses and organizations to provide resources efficiently to students with disabilities. The outstanding issue is mainly a lack of standardized work flow methodologies that promote accessible development from the beginning stages of any project for large institutions. The research […]

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Detection, characterization and analysis of unsafe video content on YouTube

A safe video platform can provide a healthy and suitable environment for users in general and children in particular. This project aims to utilize machine learning and deep learning techniques to identify and flag sensitive and questionable content (e.g., content related to violence, sexuality, etc.). The algorithm will leverage video frames extracted from the database […]

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Seismic performance assessment of smart highway bridges using life-cycle costing

Bridge infrastructure constitutes a substantial portion of the national wealth of Canada, whose performance during earthquake events has a significant impact on the public safety. How to enhance the seismic performance of bridge structures is a huge big challenge in civil engineering. And how to promote the application of advanced technique in civil engineering is […]

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