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John M. Easton
John M. Easton
Associate Professor, University of Birmingham
Verified email at bham.ac.uk - Homepage
Title
Cited by
Cited by
Year
Birmingham Metabolite Library: a publicly accessible database of 1-D 1H and 2-D 1H J-resolved NMR spectra of authentic metabolite standards (BML-NMR)
C Ludwig, JM Easton, A Lodi, S Tiziani, SE Manzoor, AD Southam, ...
Metabolomics 8, 8-18, 2012
1622012
Metabolic changes in flatfish hepatic tumours revealed by NMR-based metabolomics and metabolic correlation networks
AD Southam, JM Easton, GD Stentiford, C Ludwig, TN Arvanitis, MR Viant
Journal of proteome research 7 (12), 5277-5285, 2008
712008
Proposed reporting requirements for the description of NMR-based metabolomics experiments
DV Rubtsov, H Jenkins, C Ludwig, J Easton, MR Viant, U GŁnther, ...
Metabolomics 3, 223-229, 2007
692007
nmrML: a community supported open data standard for the description, storage, and exchange of NMR data
D Schober, D Jacob, M Wilson, JA Cruz, A Marcu, JR Grant, A Moing, ...
Analytical Chemistry 90 (1), 649-656, 2018
612018
Blockchain technology as a mechanism for digital railway ticketing
JD Preece, JM Easton
2019 IEEE International Conference on Big Data (Big Data), 3599-3606, 2019
272019
Enabling Data Integration in the Rail Industry Using RDF and OWL: The RaCoOn Ontology
J Tutcher, JM Easton, C Roberts
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A†…, 2017
272017
A review of prospective applications of blockchain technology in the railway industry
JD Preece, JM Easton, JD Preece, JM Easton
Preprint submitted to Int. J. Railw. Technol, 1-22, 2019
252019
Towards encrypting industrial data on public distributed networks
JD Preece, JM Easton
2018 IEEE International Conference on Big Data (Big Data), 4540-4544, 2018
202018
Understanding data quality: Ensuring data quality by design in the rail industry
Q Fu, JM Easton
2017 IEEE International Conference on Big Data (Big Data), 3792-3799, 2017
192017
Innovative applications of big data in the railway industry
S Kohli, AV Kumar, JM Easton, C Roberts
IGI Global, 2017
132017
Applications, value and barriers of common data frameworks in the rail industry of Great Britain
D Golightly, JM Easton, C Roberts, S Sharples
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of†…, 2013
132013
Mining open and crowdsourced data to improve situational awareness for railway
SS Rahman, JM Easton, C Roberts
Proceedings of the 2015 IEEE/ACM International Conference on Advances in†…, 2015
102015
Applications of linked data in the rail domain
C Morris, J Easton, C Roberts
2014 IEEE International Conference on Big Data (Big Data), 35-41, 2014
102014
Prediction of weather-related incidents on the rail network: prototype data model for wind-related delays in Great Britain
Q Fu, JM Easton
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A†…, 2018
92018
Railway modelling-the case for ontologies in the rail industry
JM Easton, JR Davies, C Roberts
International conference on knowledge engineering and ontology development 2†…, 2010
92010
Ontology in the rail domain: the railway core ontologies
C Morris, J Easton, C Roberts
Proceedings of the 7th International Conference on Knowledge Engineering and†…, 2015
72015
The development of a graphical user interface, functional elements and classifiers for the non-invasive characterization of childhood brain tumours using magnetic resonance†…
A Gibb, J Easton, N Davies, YU Sun, L Macpherson, K Natarajan, ...
The Knowledge Engineering Review 26 (3), 353-363, 2011
72011
A video game-inspired approach for a pedestrian guidance system within a railway station
JD Preece, M Samra, RJ Thomas, JM Easton
2021 IEEE International Conference on Big Data (Big Data), 2919-2924, 2021
62021
Blockchain application in remote condition monitoring
RA Alzahrani, SJ Herko, JM Easton
2020 IEEE International Conference on Big Data (Big Data), 2385-2394, 2020
62020
How does existing data improve decision making? A case study of wind-related incidents on rail network
Q Fu, JM Easton
IET Digital Library, 2016
62016
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