HI-DSR: Hyperspectral Images enhancement via Deep Sparse Representation model

The current non-destructive and fast method of hyperspectral imaging technology are used for different application from remote sensing to medical imaging and food processing. Due to the nature of acquired data which are massive as well as physical consideration depend on the type of application, the careful, fast and accurate data analysis is mandatory to […]

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Single-view 3D tracking and trajectory classification of road users at intersections

The goal of the project is to research and develop computer vision algorithms, software, and specialized hardware for the analysis of mixed traffic at intersections. Road users will be detected and classified as motor vehicles, pedestrians and bicycles. Road users will be geo-located within a 3D model of the intersection, tracked and classified according to […]

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Development of mathematical models/applied AI for estimation of compressive strength of concrete using non-destructive testing methods

The proposed project aims to apply artificial intelligence methods to augment in-place non-destructive testing technologies in order to reduce or eliminate the need for intrusive methods (i.e. concrete core extraction) for concrete strength estimation. The proposed approach is based on the SonReb method, which combines two non-destructive testing technologies, namely ultrasonic pulse velocity and rebound […]

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Autonomous Motion Planning for a Safe and Efficient Last Mile Delivery Robot

In recent years, the North American population has become increasingly dependent on food and consumer product delivery. As a result of the current COVID-19 pandemic there have been surges in delivery demand. There are several active driving-based delivery methods, such as Uber Eats, however drivers are required to navigate through traffic, park, turn off their […]

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AI-Based Fault Detection system for Mine Dewatering Systems

The removal and movement of water is an essential activity for the safe and productive operation of mines. In the mining industry pumps are often required to operate several km underground. If a pump were to fail in such a location, the results can be costly and potentially unsafe. It can be exceedingly difficult to […]

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A conversational assistant for accessing Covid-related benefits

We will develop a conversational assistant that can answer Canadian employee and employer questions about Covid benefits. The assistant will ask the user a minimal, easy-to-understand set of questions to help them figure out whatever benefits they are eligible for and will direct them to the relevant sites for applying for these benefits. The partner […]

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Journalism Product Innovation and Audience Engagement at The Conversation Canada

The Conversation Canada (TCC) is an independent news startup that specializes in short-form, evidence-based explanatory journalism written by experts in universities and curated by professional journalists. TCC is supported by a consortium of universities, agencies, and governments. News articles are freely available online and may be republished at no cost under a Creative Commons license. […]

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Interpretable Machine Learning for Predictive Analytics in Employee Benefits Insurance

In recent years, many machine learning methods have been developed for predictive analytics and automated decision making. However, the lack of explanation resulted in both practical and ethical issues. In this project, we will employ and advance interpretable machine learning methods for various predictive analytics tasks in employee benefit insurance. The proposed methods can be […]

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Next-Gen Amplified Sustainable Agriculture (NASA) – Its’s About Space

To mitigate risks of global malnutrition, hunger, and conflict; food production should become more efficient and sustainable. Controlled Environment Agriculture (CEA) can produce higher yields at reduced spatial and environmental footprints. This control improves management of key elements like water, nutrients, and nutritional outcomes. These advantages come with a cost however; of which energy is […]

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Simultaneous Functional Calcium Imaging with Quartet® for studying odor memory circuits and developing second generation Quartet®

Episodic memory refers to an ensemble of memory processes and is the capacity to recollect where and when past events occurred, which involves subjective consciousness and a sense of time in retrieving past experiences. The hippocampus is essential for representing spatiotemporal context and establishing its association with the sensory details of daily life to form […]

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Exploring applications of Machine Learning and Quantum Computing in optimization, finance, and the healthcare industry

MITACS interns at 1QBit will aid in the research and development of experimental usage of quantum and classical hardware devices for industry use including, healthcare, finance, advanced materials, and optimization. Interns will have the opportunity to work alongside academics and research teams. MITACS interns will gain the practical experience of applying their knowledge for industry […]

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