Arts’ Civic and Social Impact Beyond Covid-19: Researchers in Residence

Four research interns will be supported by four arts funders, five universities and four arts and culture organizations, which will come together under the leadership of Mass Culture to see how the arts and culture sector impacts society today. Together, we will look at ways to strengthen community ties and foster shared social values through […]

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Going Beyond RGB-Based Machine Learning Datasets for Digital Agricultural Applications

This project represents the next innovative leap by the TerraByte research group at UWinnipeg and the Enterprise Machine Intelligence and Learning Initiative (EMILI). The focus main thrust of this work is to generate data that will enable machine learning approaches to digital agricultural applications. The data generated from this project includes multispectral, hyperspectral, and 3D […]

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Implementation of BMP protocols to manage irrigation and controlled drainage to conserve water and nutrients within agricultural lands

Tile drainage is becoming popular as a way to control excess moisture in the field to increase productivity. Yet, the economic return on investment (ROI) on installing tile drainage is not known in Manitoba. This research will allow us to assess the impact of water management through controlled drainage on yield. Detailed water table depth […]

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Deep learning models for compound design

Traditional drug development strategy is costly, tiresome, and labor-intensive. In the last decade, artificial intelligence (AI) technologies have shown promising results to overcome some of these limitations. However, these computational technologies still cannot efficiently generate novel drugs with expected properties for treating specific diseases. Here we will apply new generation of AI frameworks to design […]

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Improving technology for identifying environmental microplastics with machine learning

The average human consumes a credit card worth of plastic every week as a result of environmental microplastics. The tools and technology that are currently used to analyze chemical compound structures to identify polymer types in microplastics research are not well-calibrated for field-specific use. Raman spectroscopy data from microplastics samples is imperfect. Furthermore, plastics that […]

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Vison-based frameworks for automated robotic machining of aerospace composite panels

Canada is a global leader in the aerospace manufacturing industry. Canadian companies produce complex assemblies and system solutions including carbon fiber composite panels used in the body of airplanes. Manufacturing of such panels requires a significant number of operations such as trimming, drilling, and abrasion. Currently, some of these operations are performed manually, which is […]

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Investigations into HVDC Converter arrangements for a Western Canada Grid

Presently the electrical grids of Manitoba, Saskatchewan and Alberta are operated with limited energy exchange between them. Connecting the three provinces together with a “Western Canada Grid (WCG)” could yield significant advantages. Connection with HVDC transmission is attractive due to its control flexibility and stability. This project will investigate optimum converter types and control methods […]

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Advanced Network Intrusion Detection Using Automated Algorithms and Threat Models

Computer attacks such as viruses, Trojans, etc. are a continuous problem for governments, companies, and individuals. The most common methods of detecting these computer problems like anti-virus systems rely on an attack being known and described before it can be detected. This opens a hole in computer security systems for new attacks that have not […]

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Ensuring Stability and Accuracy of Multi-rate Electromagnetic Transient Simulation

Real-time digital power system simulators are used for testing and debugging control equipment intended for field installation. They simulate the power network in ‘real-time’, i.e., the simulation computations are rapidly completed so as to retain synchronism with a real-world clock. This requires the level of complexity in different components of the network to be judiciously […]

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