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 […]

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 […]

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. […]

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 […]

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 […]

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 […]

Anomaly Detection (AD) is a key research problem in the fast-evolving area of Intelligent Transportation Systems. To proactively detect faults, AD methods are applied to detect deviation from regular behavior, which can also be caused by environmental factors such as weather conditions, neighbouring trains, and track curvature. Thales Canada has unlabeled data from their Next-Generation […]

Metabolomics is the study of the complete set of small molecules in human body. It is a cutting-edge technology that empowers precision health and drug discovery. Liquid chromatography-mass spectrometry (LC-MS) system is the most sensitive analytical platform for metabolomics. However, computer programs are urgently needed to automatically process metabolomics data. This project will incorporate state-of-the-art […]

As a reinsurer, the partner organization backs risky and/or high face-value policies that are otherwise detrimental to insurance companies to underwrite. However, currently the available information on the policyholder is based on prior information stored in the company databases and on previous policies held or claims administered and/or what is presented on the forms provided […]

This research will determine which combinations of metrics sets and machine learning algorithms provide the most accurate outcomes when analyzing the data produced in the CSE-IDC-IDS2018 dataset.

Services provided by CES move the traditional paradigm away from static paper maps and data management. Instead, they offer MapAki to create and deliver unique interactive web maps. This research project will attempt to associate multi-layered artificial intelligence empowered services to redesign and rebrand MapAki. Firstly, this project will use up-to-date visuals collected from the […]

The project would be a scalable app designed to treat insomnia effectively. This will include educational videos and materials to enable patients to do self-treatment. This should be much more time and cost efficient than traditional treatment, much more easily accessible, and scalable. TranqSleep hopes that the digital platform will be easy and intuitive to […]