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 Independent Data Services |
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
Mapping personal movement space inside historic buildings May 1, 2016 - Jan 31, 2019
This project explores the potential for visualisation of the interior spaces and passageways in selected built heritage case studies.
It will also explore the ways in which the presentation and discussion of those visualisations can i...
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Intelligent digitisation platform for processing, detecting and classifying symbols in technical drawings Jan 4, 2017 - Jan 3, 2018
The overall aim of the project is to build a Data Analytics Framework to process, analyse and digitise technical drawing and engineering diagrams using state-of-the-art machine learning and computer vision techniques
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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