Thales développe le Hospital Optimizer, un outil pour gérer l’utilisation des salles d’opérations en les affectant à différentes équipes médicales. Cette allocation tient compte de la demande, des disponibilités médecins, de la disponibilité des salles et des types de chirurgies pouvant être effectuées dans chaque salle. Si la version courante du Hospital Optimizer prend bien […]

Network parameter configuration is crucial for optimizing performance in a cellular network. Often, such parameters are too numerous and their interdependence too complicated for them to be efficiently configured by human experts. Therefore, it is of great interest to study network parameter configuration as a machine learning problem. We aim to expand on the machine […]

Project 1: The objective of this project is to design a Visual Systemic ‘Risk Map’ as one possible prototype to address some of the issues of risk identification and analysis in the context of global financial systems. We propose the design concept of the ‘Risk Map’ using principles of Cognitive Systems Engineering (instrumental papers in […]

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 […]

Online marketing is a popular type of advertising, which utilizes the Internet to deliver advertising information to consumers in the digital era. Despite the advantages of online marketing, there is still much room for efficiency improvement. The major problem with existing online marketing is that there tend to be a mismatch between what are delivered […]

The EBAR Web App Widget Development project is building in-house capacity in modern JavaScript development, converting the EBAR Reviewer app to Esri Web AppBuilder with custom widgets, and applying and adapting best project management practices for small software development teams.

Mental illness is the leading cause of disability in the world. Diagnosing mental health syndromes have proved challenging for clinicians. This has led to delay in diagnosis or misdiagnosis. Furthermore, the majority of individuals who have mental disorders have more than one condition (co-morbid), which are essential to screen and diagnosis early to achieve symptom […]

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 […]

More and more small and medium enterprises these days rely on continuous cash flow for the survival of their business. Current pandemic has made their survival with reduced business activities worse by relying on government support and brought down many businesses creating domino effect of joblessness and adverse economic impacts. The overall goal of this […]

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, […]

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 […]

Each planting season, farmers are exposed to the uncertainty that their crops will yield poor results, leading to unpredictable revenue. The seasonality of their product lends itself to price volatility as a result of unpredictable factors such as weather, pests, supply and demand. In an industry where small price fluctuations can have a big impact […]