Validating Artificial Intelligence Algorithms for Breast Cancer Detection

While mammograms remain the best available technology for early detection of breast cancer, there are a high number of false positive mammograms and biopsies, leading to increased costs to the medical system on follow-up procedures and increased patient anxiety. This project evaluates the performance of artificial intelligence (AI) systems for breast cancer detection using about […]

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Prediction of biological age based on DNA-Methylation patterns

DNA methylation is a biological process that involves the chemical modification of DNA with methyl groups at specific regions of a chromosome. DNA methylation and demethylation change the processes associated with turning on and off genes. Changes in DNA methylation patterns can be influences by environmental forces which are recorded at the molecular level and […]

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Data analytics on city 311 information requests

In the current era of big data, huge volumes of a wide variety of data are generated and collected at a rapid rate. Embedded in these big data is implicit, previously unknown and potentially useful knowledge and information. This calls for data science—which use techniques like data mining, machine learning, etc.—for social good. With popularity […]

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Navigation and Control of Drones over 5G networks: Enhanced Communication, Adaptive Control and Drone Swarm Collision Avoidance

The current generation of cellular networks, i.e., 4G, made possible multimedia applications such as music and video streaming in the palm of your hand. The upcoming generation of cellular networks, i.e., 5G, enables new types of applications beyond what 4G offered such as augmented virtual reality, Internet of Things, cloud computing, autonomous vehicles, connected health […]

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Improving Aveer RFID technology for real-world scenarios

Radio Frequency Identification (RFID) technology has received extensive interests due to its low cost, battery-free, and small size. Many exciting applications based on RFID have been developed in recent years, such as localization, gesture sensing, and health monitoring, etc. However, none of these systems are widely in real-world use. The reason is that most existing […]

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Risk classification over time for individuals who have diabetes

This project/research is based on creating AI models that assist in determining blood glucose levels in individuals that have been diagnosed with Diabetes and classify changes in their risk-levels over a period of time. This research will be carried out by Ian Ho, student at Queen’s University pursuing his Bachelor’s in Applied Science – BASc, […]

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Influencing buyer behavior with Intelligent Marketing and team performance with digital coaching.

The proposed project aims to define and apply a set of AI rules based on customer sentiment, loyalty and purchase behavioral data using data from Drive CX customer experience management platform. The rules would generate “hyper-personalized” marketing offers that result in measurable increases in loyalty and Customer Lifetime Value (CLTV). The deliverable would be a […]

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Automated Guidelines and Standards Compliance Checking in Oil and Gas Industry

One of the important concerns in the oil and gas industry, as in many other fields, is making sure that work processes comply with the industry-specific regulations, guidelines and standards. These standards cover a plethora of requirements, from managing equipment and people, to conducting work processes that minimally impact the environment and ecosystems. For Canada, […]

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Real-Time VLT Player Data Personae Classification

The goal of this project is to train a machine learning model that can identify player’s personae using VLT (Video Lottery Terminal) data within a transactiontime limit. The personae are results of the previews MITACS project. Using unsupervised learning each playing session was associated with a playstyle. Identifying the playstyle as soon as possible is […]

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Employing Data Mining and Visualization Strategies for the Analysis of Well-being Indicators

In this project, an online, interactive map visualization tool will be built to illustrate trends of community well-being indicators across Nova Scotia using the 2019 Quality of Life survey as the primary source of information. The goal is to empower residents and decision-makers to understand unique well-being patterns and socio-economic trends in communities, providing an […]

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