Tooliaba Tool Rental Platform SAAS UX/UI Testing and Development

Tooliaba is a web based software as a service platform that provides coordinated rental of tools and equipment. The research project into the site will test the UX/UI viability as well as the overall user experience. The desired project is the creation of a well-designed, user friendly app/MVP (minimum viable product) that follows good UI/UX […]

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Exploring the modern possibilities of AI Directors

Games have often used the concept of using an AI to direct gameplay in a way that would be more enjoyable by players in the game. This has most often been targeted at dynamically adjusting the difficulty of encounters so that players will be more successful when playing through a game. However, the general concept […]

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Robust, Efficient, and Scalable Control of Hybrid Energy Systems usingArtificial Intelligence Planning

In the energy industry, as a result of global warming, population growth, and environmental, political, and economic considerations, a fundamental shift in technology is expected. To address this, in this project we propose to test the applicability of our Artificial Intelligence technology for solving a challenging computational problem in the energy sector. We anticipate that […]

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Exploring and Improving Self-supervised Methods for Large-scale Video Recognition

With the advancement of modern technology, especially the increase in network speed, videos are taking more and more important places among media types. With vast potential applications, video recognition has received great attention. However, video recognition is a non-trivial task: a lot of training data are needed for complicated neural networks, but annotated data are […]

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SOTI SNAP Digital Signage

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. The goal of this project is to develop media scheduler widgets so that users can create playlists consisting of mixed media (videos, images, documents) and then deploy them at specific hours on certain […]

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Pattern Recognition in an Internet of Personal Health (IoPH) Platform

Providing meaningful health and wellness information is important in order to sustain an effective healthcare system in a society. In the last decade, manufacturers have launched a wide range of health monitoring devices. However, these devices provide mainly numbers, e.g. steps and heart beats, without reporting health conditions. Salu Design aims to transform a simple […]

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Machine Learning for Cancer Treatment Plan Benchmarking

Oncology specialists are few in numbers and cannot be present within every hospital or clinic providing their guidance and support. There are institutions in this world with oncology experts that can provide the best possible care and the knowledge of these experts is stored in medical case files within the hospital. With the power of […]

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Helping Servus Members Reach Financial Goals via Transfer Learning

In this self-contained project we will investigate how machine learning can be applied to help provide personalized financial advice. Machine learning is a term that designates types of artificial intelligence that rely on learning behaviors from data or experience. Specifically, the goal of this work is to apply machine learning to Servus Credit Union’s Noble […]

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Explore efficiently automated parallel hyperparameter search for optimizing machine learning models over large scale cloud cluster

Machine learning has been applied in various fields and shown promising results in recent years. Researchers have found that tuning machine learning models in a proper way can vastly boost the model performance with respect to the specific AI task. However, tuning machine learning models at scale, especially finding the right hyperparameter values, can be […]

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Data Science: From Principle to Practice

Data science is an interdisciplinary field that combines statistics, computer science, and domain knowledge. The rise of data science has fundamentally changed how people solve problems in all kinds of industries. To fill the talent gap, SFU professional master’s program (PMP) was launched in 2014. In this Mitacs cluster project, SFU PMP will collaborate with […]

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