Spike sleep state deep learning classifier

Epilepsy is a difficult disorder to assess and even more so automatically. It is observed that in REM sleep epileptiform activity differs from other states of consciousness. REM sleep could hold the key to a better understanding of epilepsy, however robust features that work on different people and types of epilepsies are required. The purpose […]

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Canadian Architectural Education, Accreditation, and Certification trends in a Changing Environment – Phase 2

This project – Canadian Architectural Education, Accreditation, and Licensing trends in a Changing Environment – partners with the Canadian Architectural Certification Board (CACB) to comparatively analyze quantitative and qualitative data concerning challenges and opportunities facing academic and professional sectors in Canada. The intention is to better understand past changes, current states, and future trajectories so […]

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Vision-based 3D object localization for manufacturing applications

The industrial scale manufacturing automation largely works because of robotic systems which are preprogrammed to reliably carry out the same sequence of steps over and over again. As a result, when scenarios change, or become more complex, robotic systems need to be re-programmed. Moreover, in high value added manufacturing applications, it is impractical to program […]

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Evaluation of LTD 3.0 Framework Adoption and Implementation

The Long-Term Development (LTD) 3.0 framework and its previous versions have been distributed by Sport Canada to national sport organizations since 2005 to improve participation and physical activity levels across the country, although the LTD’s acceptance and rollout has not been evaluated. Therefore, the purpose of this study will be to speak with national and […]

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Tools for Enhancement of Power System Security

The aim of the proposed research cluster is to advance the state of the art of secure operation of power systems by developing new methods and tools. A power system is expected to perform within specified operating boundaries of system voltage and frequency under normal conditions when there are no component outages. Further, it should […]

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Business and Marketing Strategy Development for Focus Technologies Inc.

Foqus Technologies Inc. provides Software solutions based on Quantum Information algorithms and Machine Learning techniques to enhance the sensitivity of Magnetic Resonance Technologies such as MRI and Nuclear Magnetic Resonance (NMR). The challenges to building up a sustainable and scalable business include how to seek the right partners and customers, how to deeply understand market […]

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Improving competitiveness and sustainability of pork production through increase in feed efficiency, improved carcass quality and higher animal welfare standards by innovative application of microbiome profiling, and computed tomography

Efficient animal production with a reduced environmental impact requires healthy animals, higher performance, increased feed conversion, and the use of available nutrients. The improvement of those traits could be accomplished by understanding how the gut microbiome plays a vital role in nutrient digestion and feed efficiency. Also, applying a reliable sorting tool allows identifying pigs […]

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Transforming animal by-products into functional meat products using 3D Printing

The utilization of meat by-products (e.g., heart, liver, kidney, intestines, and tongue) is necessary due to their adverse effects on environment. Livestock by-products represent about 52% of the cattle live weight. Since greater amounts of animals live weight is rendered unfavorable for regular consumption, it becomes important to develop technologies for the effective utilization of […]

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Deep Learning based Analysis of Underwater Images of Marine Wildlife

Trail cameras and similar technology are increasingly used to monitor wildlife in a passive, non-invasive way. With the improvement of camera and data storage technology, researchers increasingly face challenges with the time-consuming and inefficient nature of manually sorting photos. Artificial intelligence and image recognition technology have huge potential for analysing large image-based datasets and greatly […]

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