Automatic Machine Learning for Recommender Systems

This project aims to improve recommendation systems by using advanced computer techniques called Auto Machine Learning and Meta Machine Learning. This involves automating parts of the machine learning process, like finding similar data and picking the best settings for the computer model. This project also aims to make it easier for others to set up […]

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Development of a virtual active learning environment: Making use of digital knowledge objects, data visualizations, and smart assessments to engage students in collaborative deeper learning in online teaching contexts

This project will be focus on developing a digital learning platform that is: grounded in the science of learning research; informed by established pedagogical approaches for supporting collaborative learning; responsive to principles of equity and inclusion; and based on principles of effective assessment to provide high-quality online and hybrid delivery modes of distance learning education […]

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Feature Search using Automatic Machine Learning

This research project focuses on developing an automated system to search and analyze time-series tabular features in the financial institution’s machine learning pipeline. The goal is to identify relevant features and improve efficiency in the decision-making process. The project will begin by prototyping a system to support automated feature search patterns and researching feature search […]

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The development of predictive capabilities in terms of pH and solubility for complex mixtures of organic acids and organic acid salts

This project will require a combination of theoretical and empirical modeling based on extensive experimentation to develop a predictable solubility model in organic acids and salts mixture systems. The successful completion of the project will allow the company to predict capability of the complex mixtures during products development. It can be used by formulators & […]

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Real-time DNS tunneling detection using Machine Learning & Deep Learning techniques

Domain Name System (DNS) tunneling is a malicious technique that enables attackers to bypass network security measures and steal sensitive information. Traditional detection methods that rely on signature-based approaches are often ineffective against advanced attacks. In light of this, recent years have seen a growing interest in the use of deep learning techniques for network […]

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DNS tunneling detection method based on ML & DL models

Domain Name System (DNS) tunnels as a covert communication channel between a controlled host and a master server can be utilized by malicious attackers disguising the master server as an authoritative domain name server. DNS tunneling can cause significant harm due to its ability to easily evade network security mechanisms by using DNS traffic, so […]

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Pre-contact Indigenous agricultural systems in southwestern Manitoba

We aim to identify the different agricultural crops grown by Indigenous farmers in the Pierson Wildlife Management area in southwestern Manitoba prior to the arrival of European settlers. Agriculture was an important aspect of life for many Indigenous peoples living in southwestern Manitoba. Identifying plant remains associated with different crops will tell us about daily […]

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