Computer vision researchers have been moving beyond simple image classification and tackling more complex tasks such as object localization, detection and semantic segmentation. However, many of the proposed methods require large amounts of annotated data such as segmentation masks, which are expensive and time-consuming to acquire. Moreover, those methods cannot segment new object categories which […]

In the current era of big data, huge volumes of a wide variety of data are generated and collected at a rapid rate. Embedded in these big data is implicit, previously unknown and potentially useful knowledge and information. This calls for data science—which use techniques like data mining, machine learning, etc.—for social good. With popularity […]

Major Depression Disorder (MDD) is a big problem in our society. About 8% of Canadians may suffer from depressions in their life. Major depression can cause suicide and take families apart. Canadian governments spend more than $51 billion a year in the mental health sector. When treatment with medications fail, mental healthcare professionals, use Electroconvulsive […]

PledgX is interested in building a solution that aims to optimize the bidding process to maximize key performance indicators for contactors and vendors. For bidding optimization, several strategies and methods have been proposed; however, with the massive amount of available bidding datasets, the quality and performance of such methods are questionable. Machine learning introduces intelligent […]

The intent of this project is to provide the policy and guidelines in support of the Districts Open Data program. The Open Data Guidelines and Policy will provide a framework for data governance across the organization, in order to improve access to and use of data to empower community decision making. Our objective is to […]

This project will identify an optimal technology roadmap and integrated software engineering process for a new line of building heating, ventilation, and air conditioning (HVAC) control system elements being developed by Greystone Energy Systems. The COVID-19 necessitates advances in HVAC and maintaining high indoor air quality standards. This trend highlights the need for HVAC systems […]

Research will be conducted to determine the best way to visualize and operationalize electric and diesel engine performance data collected in real-time for vessel owners and operators. The boats involved in this research work are candidates for using hybrid electric/diesel drive. The methods of displaying data will be explored to determine the best way to […]

Paying with a mobile phone within brick and mortar retailers is becoming increasingly popular, as it adds convenience as well as security to the payment process. Many retailers that use interac terminals with tap technology allow mobile phone payments in this way but are unable to integrate loyalty points into the mobile payment process. This […]

Apps, mobile games, cloud based services have become ubiquitous and integral to our daily lives. These apps, although free to use, can be expensive to produce and make money either through ads or in-app or program purchases. Companies developing these services have to make software that are not only easy to use and attractive, but […]

In order to create value for the users, Dataraction needs to be able to provide insights and foster knowledge sharing and production from peer-learn activities. To do that, the ability to deploying effective machine learning applications is critical. Kubeflow will give the company the advantage with a well-structured data pipeline that can connect with many […]

An eBook App is a native app that can grant access to all of a book’s content and additionally integrade any functionality to it. It is an interesting option for ebook projects that have access to large amounts of content want to incorporate user-generated data and connect to other digital artifacts. Unlike a pdf an […]

De plus en plus de personnes utilisent les services bancaires en ligne au quotidien et s’exposent ainsi à des risques divers tels que le vol d’identifiants. De nombreux outils technologiques peuvent être mis en place pour contrer ces activités criminelles, mais leur utilisation et adoption dépend des comportements des utilisateurs. Malgré une compréhension des enjeux […]