Dr Mark Bartlett m.bartlett3@rgu.ac.uk
Lecturer
Dr Mark Bartlett m.bartlett3@rgu.ac.uk
Lecturer
Dr Carlos Moreno-Garcia c.moreno-garcia@rgu.ac.uk
Senior Lecturer
To equip an industry-leading Industrial Digital Twin technology provider to automate traditionally manual, expensive, timely and emission-creating tasks using AI & Machine Learning. This will unlock significant opportunities to maximise the economic life of key energy assets and address the growing skills gap the industry is facing by using technology
Status | Project Live |
---|---|
Funder(s) | EServe International Innovate UK |
Value | £182,832.00 |
Project Dates | Aug 21, 2023 - Aug 20, 2025 |
Childhood obesity: An integrated review towards the comprehension of scientific data sources Feb 1, 2019 - Apr 30, 2019
Childhood obesity is an ever-growing issue in Scotland and around the globe. This project laid down the foundation of using routine data sources to understand the incidence/prevalence of childhood obesity and explore availability of relevant contribu...
Read More about Childhood obesity: An integrated review towards the comprehension of scientific data sources.
LiberEat Data Science Prototype Jan 8, 2020 - Jul 8, 2020
Due to the fast-paced nature of data collection, particularly with mobile apps, very little time is spent building a structured knowledge base system for data comprehension. Therefore, valuable information may be ‘trapped’ in a multitude of unstructu...
Read More about LiberEat Data Science Prototype.
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...
Read More about Intelligent SYStem for assisted medical diagnosis for CARDIOvascular diseases.
Artificial Intelligence in fracture detection Nov 21, 2019 - Feb 21, 2020
The SBRI Artificial Intelligence supported early diagnostics in fracture detection and management in Scotland challenge aims to develop an AI or machine-based learning programme that can accurately identify or refute the presence of a fracture, initi...
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Subsea Artificial Intelligence Body Of Knowledge Mar 1, 2022 - Apr 30, 2023
This project will establish an industry consortium to support a collaboration to create a Subsea Artificial Intelligence Body of Knowledge. (A cloud based repository of images from known subsea events and non events, fully anonymised, classified and...
Read More about Subsea Artificial Intelligence Body Of Knowledge.
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
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