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There is an increasing interest in applications of machine learning to solve mining and geotechnical problems; this is made easier thanks to user-friendly and open source machine learning codes and improved computational power. The benefit of incorporating machine learning in rock engineering design are apparent, including the reduction in the time required to sort and […]

Road departure is a critical factor in vehicle accidents, which could happen as a result of a driver’s impairment or lack of attention, or the road surface condition due to inclement weather. Therefore, it has been a high priority for the automotive industry to improve advanced systems for stability and path control. GM novel approach […]

Transportation services, ranging from public buses to private logistic fleets, could benefit significantly from the introduction of Roger’s 5G wireless networks. This project has a primary objective to support UBC’s efforts to achieve its 2050 GHG emission reduction goals with emphasis on reduction of GHG and air pollutant emissions from transportation services.

Deep learning in medical imaging analysis has revolutionized the field in areas such as computer-aided detection and segmentation of clinical abnormalities. Several studies have been published on lung cancer screening using deep learning methodologies. Specific to lung cancer screening, algorithms have been trained to automatically detect and diagnose lesions in the lungs in low dose […]

L’agriculture urbaine est une expertise québécoise qui tend à se développer fortement ces dernières années, à travers le développement de nombreuses structures commerciales. La Centrale Agricole est l’une d’entre elles : c’est une structure coopérative d’incubation d’entreprises agricoles urbaines. À travers les services et les biens qu’elle offre à ses membres, ainsi que les conseils […]

This research will look at existing and possible innovations that would make municipal bylaw enforcement and adjudication in Saskatchewan more accessible, effective and efficient and would reduce the involvement of the formal court system. This may build on the example of regional co-operation offered by the Municipal Bylaw Court in Kindersley, and it may include […]

Patients with end-stage renal failure (ESRF) require hemodialysis (HD) to clear their blood from metabolic waste products. While generally considered mildly invasive, research shows that HD can induce severe side effects, often affecting microvascular blood flow in tissue. We successfully developed a small animal model that allows us to successfully dialyze laboratory rats (approx. 250 […]

We are witnessing an explosion in the use of machine learning (ML) algorithms with significant impacts on the world’s economic and social activities. The backbone of a machine learning algorithm is a deep neural network which is composed of hundreds to thousands of neurons. To make the neural networks (NNs) functional, they need to be […]

Terrestrial contaminated sites – such as abandoned oilfields, chemical spill sites, or former industrial zones – are a major environmental problem in Canada and around the world. Environmental Material Science has created new environmental monitoring equipment that generates high-resolution spatially and temporally explicit data on environmental quality. The data must be visualized and then used […]

In Ontario, 95% of its paved roads in the province are paved with asphalt or asphalt surface treated. Due to severe weather conditions, the lifetime of asphalt roads is relatively short and regular maintenance is required. The annual cost of maintenance is estimated to be around 2.14 billion dollars. This project aims to explore nanotechnology […]

Presently we do not know the extent to which different types of therapies can assist those who are in the chronic phase of stroke recovery. Technologically innovative rehabilitation devices are now becoming available to clinicians, and often employ video game-like scenarios to motivate the patient to move. However, there is a lack of evidence documenting […]