Evaluating the effectiveness of real time image filtering in multi-platform live broadcasting and interactive VR installations as means for artistic expression

There are several platforms that allow users to share real time video with the public. However, these platforms lack the tools that would allow creative professionals to create artistic video compositions extemporaneously. Our prior research assessed the potential for artistic expression within live video broadcasting by developing and integrating new creative tools within the Generate […]

Read More
Real-Time Decision Support System for Stock Trading

Equity trading systems require the trader to constantly make decisions about buying or selling equities quickly in a highly stressful environment. The information is typically confusing, highly dynamic, and imprecise and often conflicts with other information. There is also a huge amount of information that could potentially be used in the decision making process. There […]

Read More
Cited: Partnered Knowledge Mobilization Between Research and Media Organizations

Cited is a multi-media program that tells stories about research and academia to a general audience. It is experimenting with a unique co-creative approach that puts students, journalists, and researchers together on the same team. Mitacs interns will work with Cited media partners to conduct original research that builds interviews, documentaries, and other media related […]

Read More
The Database of Religious History: Big Data Approaches to Religious Cultural History

The Database of Religious History (DRH) is an online encyclopedia that systematically collects information on religious groups, providing a novel resource for both the scientific and religious studies communities. It solves two pressing needs: For scientists testing hypotheses about the cultural evolution of religion, it provides an unprecedented, infinitely-expandable, standardized, expert-sourced database. For the religious […]

Read More
Malicious Traffic Predictive Indicators in Content Delivery Networks: a Big Data Analytics Approach

Content Delivery Networks (CDNs) represent the up-to-date standard to transfer data through on-growing Internet. They are designed to manage traffic streams to avoid network problems. Despite the fact that CDNs attempt to satisfy security requirements (authentication, data privacy and integrity), they face rising innovative threats, observable in the cyber-space. The main objective of this project […]

Read More
Visualization of TBI Multimodal Brain Imaging Data

The increased incidence of traumatic brain injury (TBI) and its potentially serious long-term consequences have enormous clinical, societal and economic impacts in Canada. Yet despite its relatively high prevalence, TBI is one of the least understood neurological injuries. Emerging evidence shows that the effects of TBI are not transient and may be associated with significant […]

Read More
Automated Generation of Software Tools to Support Data Ingestion for Environmental Modelling and Monitoring

Environmental modelling and monitoring software systems, which are very important in assessing the effects of climate change, require open data from a large number of sources including all levels of government, NGOs such as watershed management authorities, consultants and business. This data needs to be brought together into internal databases and to be kept up-to-date […]

Read More
Optimizing inter-device interaction in Drone-Aided Mobile Ad-Hoc Networks (DA-MANET) for Humanitarian Mission deployment

Every year, people suffer the consequences natural disasters descend upon them. When these unfortunate events occur, emergency response teams are deployed and need to deal with a multitude of challenges. In this scenario, the communication infrastructure is a key element that can contribute to the success of the mission. Considering the case of a Drone-Aided […]

Read More
Algorithmes de recommandations pour rencontres d’échanges de connaissances chez E-180

Le projet comporte deux phases. Une première phase consiste à mettre à niveau l’algorithme actuel et à implanter une approche développée par Spaeth et Desmarais (2013). Cette approche combine les techniques dites collaboratives et par contenu. Elle améliore la performance par rapport aux résultats individuels de chaque technique. Une seconde phase consiste à élaborer un […]

Read More
Computer Vision and Deep Learning for Moderating Visual Content

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since visual content (e.g. images, videos) is one of the most important types of data shared by social networking apps, an important problem for the company is to identify images/videos that are offensive or inappropriate. For example, certain images/videos […]

Read More
An initial evaluation of the working memory impacts of a cognitive training program for children with learning disabilities

Learning disabilities (LD) are a significant area of identified disability for children in North America and worldwide. We currently understand cognitive processing weaknesses to contribute to the developmental difficulties that children with LD face in learning and beyond. One of these areas of cognitive weakness, working memory, is an important target for intervention because it […]

Read More
Optimisation de la valeur à vie d’un joueur à travers son expérience de jeux

La promotion croisée a pour but de promouvoir des nouveaux produits à des clients actuels de l’entreprise. Dans l’industrie du jeu vidéo, la promotion croisée incite à installer de nouveaux jeux. L’intérêt de la démarche est de conserver dans le réseau de de l’entreprise un client risquant de le quitter. Une analyse menée au niveau […]

Read More