Jordan Shapes for Deep Learning

The proposed project aims to develop a systematic approach for improving deep-learning-based computer vision systems by augmenting the local pixel data with the global shape data (more specifically, Jordan curves) and by adjusting system architectures to accommodate the augmented input. Three canonical computer vision problems will be investigated in this project. They are respectively image […]

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Detection of Mental Health Conditions from Textual Device Communication

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset […]

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Mining Version Histories To Automate Merge-Conflict Resolutions

In current collaborative software development environments, developers usually work in parallel. They often share changes with other developers or incorporate changes from them, with the help of version control systems (VCSs) such as Git and Subversion. The parallel collaboration process improves the development speed on the one hand, but on the other hand, leads to […]

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Regime Switch Analysis on Time-series Data for Financial Prediction

In recent years, the emergence of massive temporal data has become a reality in almost all aspects of social life, economic activity, security and defense, and poses a big challenge for existing methods. This project focuses on prediction from temporal data that arise ubiquitously in healthcare, social, industrial and financial fields. Events typically include changes […]

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Developing the use of UAV Imagery Systems for Agriculture Applications

During the last decade, Unmanned Aerial Vehicles (UAVs) drew the attention to be used as platform for imagery systems for different applications including agriculture applications. Therefore, the proposed research aims to develop the use of UAVs for specific important agriculture applications as weed management. These developments include the use of low-cost imagery sensors for these […]

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Developing Intelligent BI Applications using Machine Learning

SAP is a multinational software corporation that makes enterprise software to manage business operations and customer relations. SAP Labs Montreal focuses on supporting the consumer products industry. It provides these industries with the software infrastructure that allows its customers to run end-to-end processes including the capturing and analysis of sales transactions. Sales transactions include for […]

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Privacy Preserving Federated Learning – Year two

By virtualizing all the various appliances in the network, Network Function Virtualization (NFV) became a key enabler for the coming 5G infrastructure and nowadays a major shift is under way bringing an evolution to cloud-native NFV. In the latter operational model, applications are decomposed into microservices running inside containers to enable automated installation, configuration and […]

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Measured and perceived differences between writing on digital and analog surfaces

Digital devices have the potential to play a positive role in the classroom.  For example, longhand note-taking has been shown help learners better remember what they’ve learned than typing notes on a keyboard.  With younger generations more accustomed to using digital devices in their everyday lives, it is important that the educational system finds a […]

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Investigations and Analysis of Industrial Internet of Things Ecosystems

Rimot monitors, controls and provides insights into remote critical infrastructure through the use of enabling technologies such as data analytics, security and advanced networking.  Critical research areas in data analytics, security and advanced networking are beneficial for the creation of unique intellectual property and commercialization opportunities for Rimot.  This project will focus on the investigations […]

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