Detection of Mental Health Conditions from Textual Device Communication

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset […]

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Detection of Mental Health Conditions from Textual Device Communication – Year two

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset […]

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Feasibility of clustering road user trajectories in complex scenes for automatic identification of common traffic activities

Proactive road safety analysis allows for the pre-emptive diagnosis of road safety issues without direct observation of traffic accidents by observing accident precursor events instead (i.e. “traffic conflicts”). This approach to road safety diagnosis is made possible with the collection and analysis of large quantities of high-resolution road user trajectory data acquired from video data […]

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Development of Chitosan-based Nanosparticles forLoading Non-water Soluble Medicine

Over 90% new drugs cannot be used in market or perform inefficiently because of their poor water-solubility. Delivery of non-water soluble medicine by using biodegradable carriers can solve the problem. This research work aims to develop N-trimethyl chitosan chloride (TMC)-based nanoparticles used as a drug carrier for delivering non-water soluble medicine to enhance the therapeutic […]

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Time Series Clustering and Classification

Financial indicators of an individual firm may be in the form of time series, vectors, or even richer data, such as text or images. The purpose of this work is to explore and develop methods for dealing with such data, and in particular perform the clustering/classification of such data into similar groups. In the project […]

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Uncertainty Modeling and Quantification in Neural Network Image Denoisers

Image denoising is a fundamental process in most of computer vision systems, imaging systems, and photography productions. Recently, with the power of deep neural networks, image denoising has been pushed towards new boundaries. However, neural network image denoisers are constrained by the accuracy of the noise model used to train them. Training on a poor […]

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Carbon Materials Production and Utilization

Developed advanced carbonaceous materials from processed biomass is of interest for integration into a variety of high performance applications including, plastics, rubbers, adsorbents, and chemicals. Origin Materials has a patented process that converts waste biomass into 5-chloromethlyfurfural (CMF), furfural and hydrothermal carbon (HTC) as a by-product. This research project will examine the high-quality HTC by-product […]

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Accelerated Carbon Capture, Utilization and Storage in Mine Tailings

Reducing greenhouse gas (GHG) emissions to limit the impacts of climate change requires implementation of practical GHG-cutting technologies by industry. This research project will investigate carbon management and sequestration strategies for reducing GHG emissions in the mining industry with a focus on diamond mines including the Gahcho Kué mine in the Northwest Territories and Venetia […]

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Characterization and Modeling Inclusion Population during Secondary Steelmaking

The ultimate goal of this project is to develop a fundamental understanding of inclusion evolution during a particular refining process in secondary steelmaking unit. The particular focus is firstly on developing a detailed characterization of the inclusions formed during refining in the Stelco Ladle Metallurgy Facility, and secondly on adapting the existing McMaster ladle metallurgy/inclusion […]

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Characterization and Modeling Inclusion Population during Secondary Steelmaking – Year two

The ultimate goal of this project is to develop a fundamental understanding of inclusion evolution during a particular refining process in secondary steelmaking unit. The particular focus is firstly on developing a detailed characterization of the inclusions formed during refining in the Stelco Ladle Metallurgy Facility, and secondly on adapting the existing McMaster ladle metallurgy/inclusion […]

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Enzymatic nano-immobilisation facilitated by 2D materials for antifouling coatings

Enzyme immobilisation is crucial for preserving the enzyme activity while enabling the enzymes to be recovered and reused for multiple applications in biocatalysis. However, immobilisation can change the structure and functionality of enzymes. Therefore, immobilisation of enzymes needs to be carefully investigated and controlled at fundamental levels. The emerging two-dimensional (2D) materials, such as graphene […]

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Enzymatic nano-immobilisation facilitated by 2D materials for antifouling coatings – Year two

Enzyme immobilisation is crucial for preserving the enzyme activity while enabling the enzymes to be recovered and reused for multiple applications in biocatalysis. However, immobilisation can change the structure and functionality of enzymes. Therefore, immobilisation of enzymes needs to be carefully investigated and controlled at fundamental levels. The emerging two-dimensional (2D) materials, such as graphene […]

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