Employing Data Mining and Visualization Strategies for the Analysis of Well-being Indicators: A follow-up

In this project, an online, interactive map visualization tool will be built to illustrate trends of community wellbeing 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 trends in communities, providing an invaluable resource for […]

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Système de reconstruction 3D de modèles de villes virtuelles et segmentation sémantique pour l’extraction d’informations géospatiales

Le projet proposé vise à améliorer la reconstruction 3D des villes à partir des photographies aériennes et des données lidar, et plus particulièrement en combinant ces sources d’information. Des algorithmes d’intelligence artificielle, et plus particulièrement les réseaux de neurones convolutifs, seront utilisés pour améliorer la densité des nuages de points lidar pour la reconstruction 3D, […]

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Scaling of IoT Simulation for Verification and Testing

Simulation is a critically important enabler for the scalable verification and testing of Internet-of-Things (IoT) systems. There has been considerable research in recent years on developing IoT simulators. The existing research nevertheless does not adequately address the optimization of simulators for the competing objectives that one typically has to contend with, e.g., in terms of […]

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Choral Drone: Theatrical applications of UAVs

Drone light shows use precise choreography, high-powered LEDs and various projectors to create moving images in the sky. Cirque du Soleil has disguised UAVs as props and set pieces to create a sense of magic onstage. Additionally, researchers have used performance techniques, such as Laban Movement Analysis, to study human-UAV communication. Traditional performance spaces have […]

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Software Programming

Currently, a gap exists between basic and applied research in Streamlined Health Care Delivery. Using AI, and QDoc software we would like to work closely in collaboration with the researchers to develop AI tools that work on Streamlining the Primary Care between Physician and Patient. To be able to do that, it requires access to […]

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Development of computer vision framework for different technology platforms

Implementation of low cost techniques for automation is critical for various industries. At Fourien, we are developing various types of analytical instruments and robotic solutions for a variety of clients. Instead of installing multiple sensors in our technologies, we can employ computer assisted image recognition to implement various levels of automation in our different platforms […]

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Sustainable Desktop Program Creation/Renewal

We are looking for two interns to help reproduce a sustainable desktop program intended to track and store client database. Our current program (CMP) will no longer be supported but the program creator is accessible and can assist in supervising/answering questions. The current program contains all the code for the features required for our business. […]

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Détection et évitement d’obstacles pour un drone nautique autonome avec utilisation d’un échosondeur multifaisceaux

Un embarcation nautique autonome doit pouvoir naviguer en utilisant les données qui lui sont disponibles. Dans la plupart des cas, une telle embarcation utilise seulement un GPS pour connaitre sa position. Toutefois, ceci ne lui permet pas d’éviter les obstacles flottants, et encore moins les obstacles sous l’eau comme les hauts-fonds. Un système de navigation […]

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Development of visual perception systems for autonomous trains using deep convolutional neural networks

This project aims to develop a deep learning-based computer vision system of a high-performance visual perception system to support the Autonomous Rail. The developed visual perception system enables extracting rail tracks and objects in typical rail scenes using consumer grade camera and lidar sensors mounted on a moving rail. This visual perception capacity is fundamental […]

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Revealing Trends in Quantum Technology with Natural Language Processing and Deep Learning Techniques

Recent years have witnessed a surge of interests in exploring emerging research directions of quantum technology, including quantum computing, quantum sensors, quantum cryptography, etc., and the number of scientific publications in the literature in this field has been growing steadily. However, due to the large volume of unstructured text data and the lack of automatic […]

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