Using Machine Learning for audio analysis and synthesize

Voices.com, the largest online marketplace for 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 involving NLP is in the process of being integrated into production. The second phase will […]

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Ultra-thin graphene oxide membranes for efficient humidity harvesting

The main goal of the proposed work is to develop an ultra-thin and selective GO membrane capable of separating water vapor or steam from air. For this purpose, a suitable membrane supports required to hold the GO sheets. Therefore, the GO sheets will be deposited on various membrane supports and their performance in terms of […]

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Pattern Recognition: The Exploration of Machine Learning Algorithms in Archaeological Site Prediction, Fraser River Valley, British Columbia

Golder Associates Ltd., teaming with the Seyem’ Qwantlen Business Group (Kwantlen First Nation), was retained by the Township of Langley to develop a model to predict the location of unrecorded archaeological sites on a 10,000 year-old landscape located in the Fraser River Valley, British Columbia. Conventional predictive modelling techniques are common practice however with the […]

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Analyse structurale des formations de fer au nord-est du réservoir Manicouagan

Champion Iron Mines est une société de développement et d’exploration québécoise effectuant de l’exploration régionale dans la plus importante région de production de minerai de fer du Canada. Le minerai se trouve dans des formations de fer plissées en une géométrie complexe lors de la formation de la chaîne de montagne « Grenville » il […]

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Investigating polysaccharide-protein conjugation: characterization and effects of glycation conditions

Pneumonia remains the single leading cause of childhood death under age 5 worldwide. The price per dose of current vaccines is high and supply is limited due to a complex manufacturing process and low yield, significantly reducing its distribution in developing nations.1 A newly patented vacuo dry-glycation process promises much higher efficacy than the conjugation […]

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Identifying Questions for Game-Based Learning through Deep Learning

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]

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Advancing Human Performance in the Canadian Football League

North American professional football players struggle with mental health challenges such as addiction and depression during and following their athletics careers. Despite the fact that these athletes value positive emotional, psychological, and social mental health, little is known about ways organisations can protect and promote these parts of athletes’ mental health. Therefore, the purpose of […]

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Autonomous structure detection and inspection using unmanned aerial systems

In this project, a new method is developed to optimize the performance of an Unmanned Aerial Vehicle (UAV) for autonomous detection and on-the-job view-planning of infrastructure elements with the purpose of their accurate three-dimensional (3D) modeling. The existing view-planning approaches in the literature have mostly modeled non-complex or small-scale objects and have rarely been adapted […]

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Backtesting de strategies en finance

Le projet consiste a evaluer I’excedent dee rendements relies a des strategies d’investissements precises. Ces strategies d’investissement seront basees sur I’identification d’anomalies de marche non exploitees par les investisseurs. Ces anomalies seront pour la plupart de nature comptable. Apres I’indentification des variables com ptables. je devrai choisir les titres pertinents selon nos criteres avec Ie […]

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Chemical and biological characterization of the non-tetrahydrocannabinoid profiles of medicinal plants

We propose to perform detailed studies that characterize chemically and biologically and the unaltered ancestral plant species of the Cannabis genus. Chemically, these studies will provide the chemotype profiles for each parental species for a spectrum of non-tetrahydrocannabinoid compounds. Biologically, these studies will provide the pharmacological profiles for each parental species. These data will enable […]

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