Deep Neural Networks for applications in public safety

Deep Neural networks have revolutionized machine learning and in particular computer vision. The revolution was achieved by a combination of big data, graphical processing units and advances in numerical optimization. In this work we propose to extend and develop machine learning techniques, focusing on deep learning methods for public health and safety applications. We will […]

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Daily Question Assessment Methodology: The Development and Validation of Industrial-Organizational Constructs and Methodologies for Business Intelligence Application

Many well-constructed, validated survey instruments in the field of industrial/organizational psychology are lengthy and complex to score and interpret. This is a significant issue as the intent of developing survey instruments is for their translation into industry practice. Short form survey instruments are becoming an increasingly common alternative for collecting data (Fisher, Matthews, & Gibbons, […]

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Molecular diagnostics for temperature stress and pesticide stress on queens

Honey bee colony health and productivity is intrinsically linked to the quality of the queen. Unfortunately, queen quality is compromised by stressors such as extreme temperatures and pesticide exposure. When queens are heat- and cold-shocked, the viability of their stored sperm drastically decreases, causing colonies to dwindle, produce less honey, and ultimately fail. Pesticide exposure […]

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Accelerating database storage engines using Processing In Memory

A notorious phenomenon limiting general-purpose computing today is memory wall. Memory – the hardware used to store the data- is located relatively far from the central processing unit (CPU), so applications spend a lot of time waiting on data to travel from memory to the CPU. New memory hardware, such as the one addressed in […]

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The role of historical Indigenous burning patterns in reducing risk to mountain communities

For thousands of years before European arrival, the Indigenous people of the Rocky Mountains regularly used low-intensity surface fires to keep forests clear of debris and fuel to mitigate the risk of high-intensity wildfire. The proposed project will investigate the historical extent of landscape management by Indigenous burning methods and explore the incorporation of Indigenous […]

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Optimizing the productivity of the whooping cough, diphtheria, and tetanus vaccines’ manufacturing processes: software and hardware-based solutions

The current key challenges in manufacturing of pharmaceuticals in general and vaccines in particular is the lack of rapid measurements for monitoring the processes in real time, lack of understanding of the correlation between operating conditions to the productivity of antigens composing the vaccines and contaminations that affect the purification processes. This proposed research program […]

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Proof of concept testing of a bead-on-string polyacrylonitrile nanofibrous air filter for indoor air cleaners

Indoor air quality of buildings is becoming even more important today, with the persistence of COVID-19 pandemic. A new type of air filter, based on bead-on-string polyacrylonitrile, offers high ultrafine particles removal (above 99%) as well as low pressure drop. Environmental and Power Solutions and Canada Water Technology eXchange are joining forces to undertake research […]

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Advancing Strong-Scaling CFD Simulations on Manycore HPC Hardware

Science and engineering companies rely on powerful computers to simulate, in virtual space, the performance of new processes and products. The computer architectures of these systems are evolving to provide even faster virtual solutions with less energy requirements. This hardware evolution impacts software design and implementation of simulation tools such as Computational Fluid Dynamics (CFD). […]

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New Method for Delivering Protectants into Honey Bee Hives

Pollination services provided by honey bees is imperative to crop production in Canada. Unfortunately, honey bee health is compromised by pests and diseases leading to the decline and/or death of hives and decreased pollination. In this project we will implement the usage of a special inspenser to bring in materials that will protect the honey […]

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IoT device fingerprinting and anomaly detection using ML

The number of Internet of Things (IoT) devices is expected to reach 50 billion devices by 2020 and the devices are increasingly diverse. They are disrupting traditional security measures. Mobile Network Operators (MNOs) have limited control over customers’ IoT devices, as they are deployed on the customer premises. MNOs need to deploy effective security controls […]

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Creative Artificial Intelligence in Interactive Mobile Systems

The large amount of information available today on the web brings many challenges to the information retrieval and artificial Intelligence communities. Moreover, personalization is a key component in today’s successful mobile websites and interactive applications. In order to be effective, these websites are required to provide visitors with the information they need without the complexity […]

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