Professor Eyad Elyan e.elyan@rgu.ac.uk
Professor
Professor Eyad Elyan e.elyan@rgu.ac.uk
Professor
The project will create a data mining and visualisation tool to intelligently mine large volumes of structured and unstructured data in oil/gas operations and the knowledge to further develop and support the tool, thus improving practice/decision-making, significantly increasing client productivity
Type of Project | Project |
---|---|
Status | Project Complete |
Funder(s) | Innovate UK IDS |
Value | £136,835.00 |
Project Dates | Jul 1, 2017 - Jun 30, 2019 |
Create a mobile application which will facilitate the use of sport science and artificial intelligence to provide measured feedback within sports and other environments Jan 11, 2016 - Mar 30, 2017
Many sports teams and individuals have professional standards without the resources. Our aim is to create academically sound, technology driven tools to help sports and other industries benefit from sport science without the need for expensive equipm...
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Size and shape of UK offshore workers Oct 1, 2012 - Dec 1, 2014
To develop a capability for accurately profiling offshore worker's size in a systematic and sustainable way, informing safety equipment, working environment design and operational procedures.
Design and develop a 3D/4D interactive augmented visualisation system Oct 1, 2011 - Aug 1, 2014
To design and develop a 3D/4 D interactive augmented visualisation system that will allow us and our SME distributors to efficiently specify our products
Augmented Reality Procedural System (Phase 2) Nov 1, 2016 - Oct 31, 2017
Operators, contractors and other service providers in the Oil and Gas industry rely heavily on paper-based guidelines to perform procedural tasks. This is also the case across other different industries. Such approach proved to be time consuming, amb...
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Data extraction from complex engineering drawings Aug 1, 2018 - Jul 31, 2019
Engineering drawings and diagrams are commonly used across different industries such as oil and gas, petrochemical, construction, transportation and others. Many legacy documents exist only as paper copies, scanned images or in pixelated format. Digi...
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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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