In Deep Learning, one of the most important determinants of the performance of a model is the training procedure used. The ideal training method produces a model that is accurate and fast, it should work on models of various sizes and be flexible enough to allow users to specify conditions they want the model to […]

This project will help 3D Planeta train interns to help towards novel product development. Through this project, all the interns will be engaged to take on specific tasks that will help build on the work 3D Planeta’s team has been developing. This work will help 3D Planeta to advance it’s 3D offerings from the advanced […]

There are over 225,000 new cancer cases in Canada every year. Positron emission tomography/computed tomography (PET/CT) is the primary imaging modality for a range of cancer types. Various studies have established that determining size/volume, shape, and texture features of tumors from PET/CT images can help identify patients at high-risk of cancer relapse, or for whom […]

The Canadian steel industry experiences fierce global competition. It is also under an increasing pressure to decrease its environmental foot-print. Continuous process optimization is, therefore, necessary for a sustainable operation. To produce high quality steel and concurrently reduce costs, trial and error cannot be effective. This proposal aims to advance the knowledge of electric arc […]

Poor physical recovery, especially in remote rehabilitation, is the problem that will be addressed in this project. This project is Phase I of development of Fun-exercise module. Fun-exercise system uses gamification to boost patients’ adherence to their prescribed home-exercises. To achieve this goal, Fun-exercise will use mentally stimulating and customizable games paired with a set […]

Cancer is a devastating disease known to be treated with chemicals causing severe side effects in the advanced stages of the disease. Among these chemicals are a group of antibiotics, called anthracyclines, used to treat a variety of cancers, including breast cancer (BC). Doxorubicin, one of the preferred anthracyclines used in BC treatment, is particularly […]

This project will focus on the research areas of smart device monitoring and the analysis of complex medical data in public health. Through the use of artificial intelligence, researchers will develop solutions that exploit large-scale sensor data, address significant challenges caused by global threats by, for example, setting early heat alerts for extreme heat waves. […]

Medidas Digital was incorporated in 2019 to create TrypScore, a technology built to change human behaviour with regards to driving a vehicle. Vehicle collisions are responsible for 1.35 million fatalities and approximately 50 million serious injuries across the globe every year. We wanted to create a modern user engagement tool that could incentivize better driving […]

Medical devices, like other computer systems, can be vulnerable to security breaches, potentially impacting the safety and effectiveness of the devices. Left unmitigated, these vulnerabilities could allow unauthorized users to access, control, and issue commands to compromised devices, potentially leading to patient harm, identity theft, ransomware, and other illicit activities on patients’ accounts. However, security […]

With the advances in the technology and shrinkage of the device sizes, many new challenges have been introduce in the design process of electronic devices. Therefore, the designers are required to spend so much time and effort and go through several cycles of design and test to tackle these challenges. This is even more serious […]

The project investigates the transformation of anonymity in times of networked-data by looking into the history of urban neighborhood design and its relation to neighborhood-related machine learning algorithms, such as k-nearest-neighbor (KNN). This method analyzes behavioral patterns to form groups (neighborhoods) of actors with the same characteristics (neighbors). This groupingis then deployed to understand and […]

Ce projet traite le défi de simulation collaborative d’un modèle de réseau électrique qui comporte plusieurs composants hétérogènes, tels que les RÉD (Ressources Énergétiques Décentralisées), les VÉ (Véhicules Électriques) et les automatismes numérisés selon le standard CEI 61850. Puisque l’intégration de ces éléments complexifie le modèle simulé de réseau électrique, l’idée est de les intégrer […]