This project aims at developing a conversational agent for autistic people and their families, based on highly accurate training datasets while deploying Natural Language Processing (NLP) and Deep Learning (DL) techniques. This project will help promote inclusion and diversity into AI design by using the right data to train the conversational agent system to be […]

Training personnel to operate machinery in the construction workplace requires a major devotion of time, resources, and safeguards. Recent methods involving virtual reality and motion base simulators have drastically enhanced the training process, but some users of these new methods report sickness and discomfort. This research aims to remedy this issue with a theoretical and […]

Traditionally, artistic communities relied on face-to-face encounters to learn their skills, collaborate, and showcase their work. Due to COVID-19, performances in the arts have been abruptly halted and traditional music lessons take place at a studio has stopped. This project aims to examine and provide a prototype solution to mitigate the challenges in artistic collaboration […]

Many YouTube content owners currently make money from their videos by allowing YouTube to display ads next to them. For these content owners, increasing the popularity of the video leads to more revenue, and therefore it is of great importance. The purpose of this project is to design an algorithm to predict the popularity of […]

In this project, machine learning and optimization will be applied to a 20 GB dataset on raw fish quality and process control parameters collected by the Tally software over a three-year period in a large industrial tuna cannery processor. The goal of the research is to design predictive machine learning and optimization algorithms maximizing the […]

Autonomous vehicles must be constantly aware of all aspects of the driving environment, and so are typically designed with both omni-directional and long-range forward sensor footprints. The ability to accurately detect, track and predict the motion of distant vehicles and pedestrians along the driving route remains a significant challenge, for today’s state of the art […]

Web based application framework is a popular topic for solving mobile development on different type of devices. This project aims to compare popular web based application frameworks, and their performance in native APIs in large amount of data storage, NFC, Bluetooth for inter device communication and HTTP (e.g. long polling, comet, websocket) and push protocols […]

Le projet consiste à développer un système et une application web qui permettra aux aménagistes forestiers urbains de choisir la meilleure espèce d’arbre à planter à différents endroits de la ville afin de maximiser les retombées économiques et sociales et la résilience du couvert arboré face aux changements globaux. Nous développerons un système qui regroupera […]

In the Nova Scotia healthcare system (and indeed across Canada), waitlists remain a major problem, particularly with regards to access to specialty care services. Virtual Hallway is a novel telehealth solution to this problem, providing an online platform which allows for rapid doctor-to-doctor communication with the goal of fast-tracking and improving patient care and reducing […]

The aviation industry connects people, markets, and cultures around the world and aviation is the key to ensuring that air transport continues to play a major role in driving sustainable economic and social development. The International Air Transport Association (IATA), as the trade association for the world’s airlines, representing some 280 airlines or 83% of […]

Modern cloud-based applications are deployed as isolated processes in containers or virtual machines. These applications frequently require tuning by the application developer (or a DevOps engineer) in order to extract the requisite performance. For example, a Java application executing within a Docker container may have radically better performance if the host JVM runs with a […]

The treatment of chronic conditions accounted for 58% of the annual healthcare spend in Canada in 2012, primarily through the use of pharmaceuticals. However, these are generally best suited to treat acute diseases, as with chronic use, side effects can accumulate over time while therapeutic effects diminish. Neuromodulation of the Peripheral Nervous System (PNS) represents […]