A lot of digital data is produced on a daily basis with high speed and complex formats. It is challenging to work and deal with such data. Data is in different formats from different sources and it is hard to organize, search and retrieve data. This makes it difficult to organize, clean and analyze data. […]

This project will develop and optimize high throughput, rapid screening analytical methods for twoclasses of aquatic toxins that threaten salmonid populations on Vancouver Island. These include UV filter sunscreen products associated with recreational activities and tire preservative compounds associated with roadway run-off. Working with project partners, community groups, and First Nations communities on Vancouver Island, […]

Financial institutions ensure borrowers’ ability to repay the loan before lending them for the pursuing projects. The ESSAFIN Logic 1.0 software tool is available for evaluating loan proposals based on the Environment, Social, and Governance (ESG) criteria. The tool has a potential for improvement to account for the lack of critical practical application and evidence-based […]

Aircraft/Avionics System certification is awarded by aviation regulatory bodies to applicants after they have demonstrated that the design of the system meets airworthiness requirements. Airworthiness requirements are a complex set of requirements, standards, and regulations. Demonstration of compliance to airworthiness requirements can be accomplished through testing, reviews, similarity of installation and/or usage and other means. […]

There is an increasing demand for food production to meet the ever-growing world population. As such, effective management of farm resources is quite critical for the optimal operation of farm enterprises to meet the demand. This project intends to develop an automated approach to detect and analyze fruits using a camera system. One internship programmer […]

Combined water management system including integrated composting toilets, greywater diversion with biological filtration, and rainwater harvesting for irrigation. Avoids the use of traditional septic fields or tanks in an effort to create a safe, decentralized, low maintenance, and repeatable holistic water and waste management system that does not contribute to soil nutrient depletion, erosion, or […]

CBSAlife Ltd, a company based in Manitoba, supplies microbial reagents and products to the scientific community at a reduced cost. CBSAlife Ltd has prepared a newly available kit for RNA extraction and is keen on generating data that validates the efficacy of this product, required for increased sales. In the proposed study, a total of […]

Mental illnesses, particularly depression, is one of the leading causes of global disease burden. In addition to reducing the quality of life of patients and their relatives, it costs billions of dollars annually to the Canadian economy. Unfortunately, current antidepressant drugs are barely satisfactory and have numerous side-effects. The goal of this project is to […]

Adverse events due to benzodiazepine use and falls are important clinical outcomes in older adults. As well, high-cost users of the health care system, although small in number, are a substantial burden with regards to health costs. Continued use of BZRAs in older adults is concerning from a public health standpoint; 1 in 3 older […]

This research aims in utilizing agriculture wastes in production of sustainable eco-friendly concrete panels for floors and walls in farms building. The mechanical and durability performance of the concrete panels exposed to the aggressive agriculture environment will be evaluated. The research will investigate the effects of different factors mainly related to physical properties of used […]

Recent years have seen a great amount of success in using deep learning in publicly available and standardized datasets such as ImageNet. However, deep learning methods fail to perform as well in a lot of real-world applications such as medical imaging datasets. One potential reason for this challenge is that deep learning models tend to […]

Metal-based direct energy deposition processes ideally require feedback sensing of the deposition quality using camera detectors as they provide spatial and temporal state signatures of the process. Image processing algorithms are challenging to develop due to changing process operating conditions. Machine learning models have recently gained in popularity due to their ability to predict process […]