A low complexity face recognition for consumer devices

Due to the rapid growth of consumer grade devices and corresponding application market, the incorporation of vision capabilities into embedded systems has gained significant attention from researchers lately. Similarly to the human visual system, embedded computer vision systems analyze and extract information from visual content in a wide variety of products. Face recognition has been […]

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Towards the Development of a Prognostic tool for Harmful Algal Blooms

The Laurentian Great Lakes and many Canadian inland waters have experienced a resurgence of cyanobacteria-dominated harmful algal blooms (cHABs), which negatively impact recreational uses, aesthetics, taste and odor in drinking water. The presence of toxins can also have dire repercussions on aquatic wildlife and human health. The factors that influence the occurrence and magnitude of […]

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Towards the Development of a Prognostic tool for Harmful Algal Blooms – Year two

The Laurentian Great Lakes and many Canadian inland waters have experienced a resurgence of cyanobacteria-dominated harmful algal blooms (cHABs), which negatively impact recreational uses, aesthetics, taste and odor in drinking water. The presence of toxins can also have dire repercussions on aquatic wildlife and human health. The factors that influence the occurrence and magnitude of […]

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Long-Term Prevention of Catheter Infections Using Chemical Coatings

Urinary tract infections caused by indwelling catheters (CAUTIs) employed for the treatment of urinary flow are very common. Almost 100 million of these devices are sold on an annual basis with around 25% of these being marketed in the USA. In addition to the cost of catheters and their insertion, hospital treatment of CAUITs runs […]

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Development of Artificial Intelligence Powered Technologies in Computational Pathology to Enable Automated Slide Screening in Whole Slide Imaging

Advances in Whole Slide Imaging (WSI) and Machine Learning (ML) open new opportunities to create innovative solutions in healthcare and in particular digital pathology to increase efficiencies, reduce cost and most importantly improve patient care. This project envisions the creation of new automated ML tools including the design of a custom Convolution Neural Network (CNN) […]

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Development of Artificial Intelligence Powered Technologies in Computational Pathology to Enable Automated Slide Screening in Whole Slide Imaging – Year two

Advances in Whole Slide Imaging (WSI) and Machine Learning (ML) open new opportunities to create innovative solutions in healthcare and in particular digital pathology to increase efficiencies, reduce cost and most importantly improve patient care. This project envisions the creation of new automated ML tools including the design of a custom Convolution Neural Network (CNN) […]

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Monitoring of Thermal Treatments

Treatments generating ablation and coagulation of tissues by applying lasers, microwaves, radiofrequency currents or focused ultrasound have many advantages over scalpel-based and other mechanistic surgical methods. These advantages have consequently motivated the clinical application of the various ablation techniques in a myriad of medical specialities, such as oncology, electrophysiology, and ophthalmology. Despite these advances, most […]

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Global dynamics of descending interneuron function in free-moving Caenorhabditis elegans

Enacting complex behaviours, such as locomotion, involves network-wide integration of information at the level of the nervous system. This understanding highlights the need for appropriate technologies to monitor the global dynamics of neurons in these networks. However, previous studies employing model organisms have been limited to low resolution imaging, few neurons and/or immobilized specimens. In […]

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Investigating the Antioxidant and Therapeutic Potential of Ergothioneine to prevent Cognitive Impairment in Elderly Subjects

Oxidative stress and inflammation can cause neuron degeneration and lead to mental disorders such as Alzheimer’s Disease. Dementia is debilitating and poses economic burden to the patients, families, and society. Currently, no curative drugs have been developed to treat dementia. This study will be elucidating the mechanism of action and examining the anti-oxidative and therapeutic […]

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