Optimizing Machine Learning to Increase Relevance in Photo Selection for Private School-Based Social Media

Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations […]

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Machine Learning for User Behaviour Prediciton in Mobile Games

With the growth of the social networks and mobile gaming devices in recent years, the social gaming became an important part of the game industry. These social games provide huge amount of data about the users’ behaviors, an important issue for the gaming companies is to analyze this data and model the choices and behavior […]

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Investigation on a scalable platform for modular robotic systems development: Case study on AISCartPuller robot

AIS Inc. is at the forefront of developing practical mobile robots for various markets. Mobile robots are considered as very complex systems comprising of hundreds of interacting components in complex system architectures. Developing such complex robotic systems, particularly in large scale, requires a coherent collaboration and engagement on various specialized areas such as scientific research, […]

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FiX – Flash-in-XNA (Xbox New Architecture)

V7 is seeking to advance its innovative rapid prototyping tool FiX (Flash-in-XNA) – a core piece of its game engine toolkit for Xbox360, PC, and Windows 7 Phone platforms. The tool allows designers and artists to build assets in Flash/Actionscript and bring them into an XNA platform.

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Low Dose Computed Tomography Imaging: Measuring effects of denoising algorithms by means of objective and subjective measurements, and algorithms parameters optimization

In Computed Tomography (CT), X-ray radiation is used to penetrate through the internal structure of the patient body in order to produce digital images. This means patients could be exposed to certain level of X-ray radiation dose. Accumulation of these exposures beyond certain threshold could increase risk offatal cancer. Thus it is of paramount importance […]

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Development of a “Jennic Wireless to Ethernet” Gateway Embedded System

The proposed R&D is a part of larger project currently developing by Unity Integration Corporation on intelligent lighting systems. This project is consisting of different parts such as wireless motion detectors, wireless ambient light sensors, control systems, predictive software and web-based user interface. The proposed R&D mostly focuses on the development of a gateways embedded […]

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Development of Deep Learning-based Speech Recognition Algorithm for FPGA

Automatic speech recognition (ASR)-based services have become an indispensable part of our daily life, thanks to products such as Apple Siri, Google Home, and Amazon Alexa. More and more smart home appliances are also controlled by voice. However, most of these services rely on speech recognition and natural language understanding services running in the cloud, […]

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A Case Study of Keegan Resources’ Sustainability Efforts in Ghana- Establishing a Social Partnership Building Framework for Junior Mining Companies in Canada

By studying Keegan Resource’s social partnership building process in Ghana, this project aims to develop a community development framework for junior mining companies in Canada. By analyzing results obtained from semi-structured interviews and observation from partnership meetings, the framework will identify key success factors that can aid partnership development with the aim of maximizing the […]

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Alternative Financing and feasibility Assessment for First Nation Housing Initiatives

The research would evaluate the existing financing options for home building in the first nation community. It would also look at the viability of using alternative finanCing vehicle for channeling private equity from the various markets. This research hopes to provide the First Nations communities with the necessary financial tools to leverage the existing equity […]

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Investigating Machine-Learning-Based Mocap Data Augmentation for Live Performance

This project is a collaboration between researchers from the Simon Fraser University and industry partners, Lifelike & Believable Animation Design and Animatrik Film Design. Its goal is to research and develop machine learning techniques for capturing and analyzing movement data in real-time to support the world’s first immersive in-game 3D simulcast of a live, real-time […]

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