Artificial Intelligence for Sustainable Energy Production in Saskatchewan Province – Phase 1

A multidisciplinary study for the utilization of artificial intelligence for sustainable energy production in Saskatchewan Province is proposed. In this research, the Artificial Intelligence for Energy Team of the University of Regina will use AI technology to various sustainable energy resources, which including to empower the field of nuclear energy by optimizing the reactor design […]

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Advancing Dissolvable Fertilizer

Dissolvable Fertilizers are an agricultural innovation with slow and controlled fertilizer release. This technology is posed to reduce application costs and lead to optimized nutrient uptake by plants. Furthermore, it promises to reduce the agricultural, carbon footprint, as the frequency and amount of fertilizer applied is decreased resulting in less environmental pollution from nutrient loss. […]

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Applying Artificial Intelligence for Sustainable Agricultural Management of Soil Water and Nutrients in Saskatchewan

To feed the globally increasing population and increasing costs of producing food, this project seeks to use artificial intelligence to develop an app to assist in sustainable agriculture management. By monitoring soil moisture, nutrient levels, climate and crop type, a machine learning algorithm will link the farming action (application of fertilizer, flood irrigation and other) […]

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Speech Analysis for 9-1-1 Calls and Surveillance Audio

This research project has two goals. The first goal is to design and test software that will analyze the content of transcribed 9-1-1 emergency calls. We will use Natural Language Processing (NLP) and Artificial Intelligence (AI) to perform an evaluation of the operator performance during the 9-1-1 call and generate an evaluation form in the […]

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Comparing total tract lipid digestibility and fatty acid profiles of high-fat byproducts used in western Canadian beef finishing diets through a three-step in vitro method

Growing beef for consumption requires a high-energy diet. Fat is 2.25 times more energy dense than carbohydrates. To increase the energy in the diet, feedlot nutritionists will add high-fat ingredients to the diet. In western Canada, these sources were traditionally tallow, corn oil, or yellow grease, but byproducts from the ethanol and oilseed industries offer […]

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Everly Product Iteration and Customer Retention

With this project, we aim to understand better what we can do to improve our product and customer experience to drive higher customer loyalty. Phase 1 of this project will be to survey existing and churned customers to understand what they like, what they dislike, and what they would improve about our product. We will […]

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Archiving Groups and Athletes – Dylan Froh

Provide some background on the partner organization and their challenges or opportunities. How will this project help the partner organization address those challenges? Feel free to provide links to articles, reports or other useful information. SkillShark Software is a SaaS model company leading the industry in making youth athlete evaluations easy. Current sport organizations do […]

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Using Digital Twins and Predictive Analytics to Enhance Chicken Production Inventory Management

In today’s global market for chicken, producers of broiler hatching eggs face challenges in managing production efficiently. Traditional methods struggle with complex record-keeping and a lack of real-time monitoring and prediction capabilities. To overcome these challenges, we propose a digital twin framework—a virtual copy of the chicken production system. This framework uses synthetic data generated […]

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Autonomous Cable Seal Application and Removal

The two major objectives of the umbrella grant are to 1) empower the partner organization to improve their digital capacity and gain insight into their data to support business growth and innovation. 2) Provide students with work-integrated learning experiences that expose the students to advanced data analytical techniques, data mining and machine learning. DICE focuses […]

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Social-economic Analysis on Gender Differences in Time Allocation in China

As the economy in China has developed in recent years people are now paying more attention to quality of life. How people choose to spend their time and the social-economic factors influencing these choices are both key factors in shaping the well-being of the nation. Time-use survey, a statistical tool to measure time allocation on […]

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