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ORCIDJohn M. Easton
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2020 – today
- 2022
[c12]John M. Easton
:
Digitalization and the Transport Industry - Are we Ready? IEEE Big Data 2022: 3814-3820- [c11]Joseph D. Preece, Christopher Morris, John M. Easton:
Towards STUB 2.0: Using Graph-Based World States in Hyperledger Besu to Facilitate Distributed Transport Ticketing. IEEE Big Data 2022: 3838-3844 - 2021
- [c10]Joseph D. Preece, Mohamed Samra, Richard James Thomas, John M. Easton:
A Video Game-Inspired Approach for a Pedestrian Guidance System Within a Railway Station. IEEE BigData 2021: 2919-2924 - 2020
- [c9]Rahma A. Alzahrani, Simon J. Herko, John M. Easton:
Blockchain Application in Remote Condition Monitoring. IEEE BigData 2020: 2385-2394
2010 – 2019
- 2019
- [c8]Joseph D. Preece, John M. Easton:
Blockchain Technology as a Mechanism for Digital Railway Ticketing. IEEE BigData 2019: 3599-3606 - 2018
- [c7]Joseph D. Preece, John M. Easton:
Towards Encrypting Industrial Data on Public Distributed Networks. IEEE BigData 2018: 4540-4544 - 2017
- [c6]Qian Fu, John M. Easton:
Understanding data quality: Ensuring data quality by design in the rail industry. IEEE BigData 2017: 3792-3799 - 2015
- [c5]Syed Sadiqur Rahman, John M. Easton, Clive Roberts:
Mining Open and Crowdsourced Data to Improve Situational Awareness for Railway. ASONAM 2015: 1240-1243 - [c4]Christopher Morris, John M. Easton, Clive Roberts:
Position Paper: Ontology in the Rail Domain. KEOD 2015: 285-290 - 2014
- [c3]Christopher Morris, John M. Easton, Clive Roberts:
Applications of linked data in the rail domain. IEEE BigData 2014: 35-41 - 2011
- [j3]John M. Easton, J. R. Davies, Clive Roberts:
Ontology Engineering The "What's", "Why's", and "How's" of Data Exchange. Int. J. Decis. Support Syst. Technol. 3(1): 40-53 (2011) - [j2]Alexander Gibb, John M. Easton, Nigel Davies, Yu Sun, Lesley Macpherson, Kal Natarajan, Theodoros N. Arvanitis, Andrew Peet:
The development of a graphical user interface, functional elements and classifiers for the non-invasive characterization of childhood brain tumours using magnetic resonance spectroscopy. Knowl. Eng. Rev. 26(3): 353-363 (2011) - [c2]J. Tutcher, Clive Roberts, John M. Easton:
Integrating Railway Maintenance Data - Development of a Semantic Data Model to Support Condition Monitoring Data from Multiple Sources. KEOD 2011: 442-444 - 2010
- [j1]John M. Easton, Lisa M. Harris, Mark R. Viant, Andrew Peet, Theodoros N. Arvanitis:
Linked Metabolites: A tool for the construction of directed metabolic graphs. Comput. Biol. Medicine 40(3): 340-349 (2010) - [c1]John M. Easton, J. R. Davies, Clive Roberts:
Railway Modelling - The Case for Ontologies in the Rail Industry. KEOD 2010: 257-262
2000 – 2009
- 2009
- [b1]John M. Easton:
Optimised analysis and visualisation of metabolic data using graph theoretical approaches. University of Birmingham, UK, 2009
Coauthor Index
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