The main objective of this project is using deep learning algorithm to enhance the current state of the art tooth wear monitoring system used in mining shovels. Unlike the current approach, the proposed deep learning method operates by building a model from input images in order to make data-driven predictions. We use deep learning approach […]

Prostate cancer (PCa) is the most frequently diagnosed cancer in Canadian men and the third deadliest. If the majority of PCa are well treated using first line treatments like surgery, radiation and/or androgen deprivation therapy (ADT), a proportion of cases (10%) progress to metastatic cancer resulting in more than 4 000 deaths annually in Canada. […]

Thick-billed murres from breeding colonies throughout the North Atlantic, and common murres from colonies throughout the northwest Atlantic winter off Newfoundland, Labrador and Greenland where they are the object of an annual hunt. The winter murre or ‘turr’ hunt is an important part of the culture of coastal communities, and is protected under Canadian legislation. […]

Merging different sub-companies into TELUS caused some of customer records to be repeated through the merged data-set. Algorithms are needed to determine the duplicate records. Currently a deterministic algorithm is being used in TELUS. In this project, we will investigate if machine learning can help to detect duplicates. Solving this problem has several parts. We […]

The change in the time intervals between adjacent heartbeats is known as Heart Rate Variability (HRV). The HRV of a well-conditioned heart is generally large at rest, whereas low HRV has been associated with adverse outcomes/conditions, including congestive heart failure, diabetic neuropathy, depression, and hospital admissions. As beat-to-beat variation is desirable, there has been considerable […]

Verbal communication in noise while wearing hearing protection devices (HPDs) is often difficult. Recently, a “Radio Acoustical Environment” (RAVE) was developed within the EERS-ETS Industrial Research Chair in In-Ear Technologies (CRITIAS) to enhance communication for people wearing HPDs in noise. With RAVE, speech is captured from inside the ear, denoised, and enhanced to be sent […]

Governments around the globe are trying new approaches to solving complex social problems. They are increasingly moving away from the direct provision of social services towards more collaborative partnerships with the private sector. Pay-for-success, also known as pay-for-performance or Social Impact Bonds, is a method for engaging the private sector that has been gaining attention […]

The complement system is an essential component of innate immunity, but also causes self-damage when the system is aberrantly activated or self-protective capacity is exceeded. There are many conditions where failure to protect against self-damage from the complement system has been implicated in the pathology, including Alzheimer’s disease, Parkinson’s disease, Lou Gehrig’s disease, paroxysmal nocturnal […]

Feed restriction in gestating sows is required to prevent excessive body weight gain and the associated negative consequences on lactation, locomotion, farrowing, and feed intake during lactation. Aggression and stereotypies associated with restricted feeding become a welfare and production concern when the sows are housed in groups. Delayed gastric emptying, increased swelling of contents in […]

In this project, we will establish biomarkers that objectively reflect the severity of injury, measure its progression, and predict neurologic outcome after acute spinal cord injury (SCI). This will be accomplished by comprehensively analyzing blood and spinal fluid samples from acute SCI patients. In addition, we will conduct a parallel experimental study in a large […]

Current real-time precise point positioning (PPP) systems still suffer significant challenges. One is its long position convergence time necessary before precise position solutions become obtainable. Another is its sensitivity to the loss/latency of high-frequency precise orbit and clock corrections, resulting in degraded performance. Those challenges have limited PPP’s adoption in many applications. This project aims […]

Grizzly bears represent a valuable economic, ecological, cultural and symbolic resource for British Columbia. In order to preserve this resource the current population of brown bears needs to be monitored to ensure the health of the population. One marker of health is the genetic health of the population. Genetic monitoring can also tell us important […]