From Augmented to Authentic, Weaving the Past into the Future. Feb 14, 2019 - Aug 13, 2019
This project explores ways to educate consumers about the sustainability, craftsmanship, heritage and value of traditional fashion and textile products, using a variety of mediums such as film and immersive technologies, leading to the following ques...
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Intelligent SYStem for assisted medical diagnosis for CARDIOvascular diseases Feb 17, 2020 - Dec 31, 2021
According to the World Heart Federation, cardiovascular diseases are one of the most prevalent causes of morbidity and mortality in almost two thirds of the world population. In Mexico, most patients don't have a timely diagnosis or access to specifi...
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Augmented fashion: immersive interactions for sustainable heritage in fashion and textiles Feb 1, 2020 - Jun 30, 2024
There is increasing pressure to move towards a more sustainable global fashion and textile industry where traditional methods of textile and clothing manufacture, using natural renewable sources that are inherently long-lasting offer a 'slow' fashion...
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Immersive Scotland Research Network Mar 31, 2021 - May 30, 2023
This project will facilitate multi-disciplinary knowledge exchange and exploration of immersive technologies in Scotland.
We aim to establish a network of academics, industries, micro and SMEs and cultural organisations ready for the future of imm...
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AI-Driven Framework for Condition Monitoring and Asset Management in Offshore Drilling Industry Aug 1, 2023 - Jul 31, 2026
To create an intelligent decision support system utilising large volumes of existing sensory data to inform condition monitoring, faults prediction and predictive maintenance.
This will provide asset owners with more intelligent tools for assess...
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AI-Driven Framework for Remote Inspection Apr 1, 2024 - Mar 31, 2026
To develop an Al-driven lmmersive Inspection Platform for energy sector asset inspections, leveraging multi-modal data, artificial intelligence, and immersive augmented/virtual reality technologies, aimed at enhancing efficiency, accuracy, and predic...
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