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John M. Easton
John M. Easton
Associate Professor, University of Birmingham
Adresse e-mail validée de bham.ac.uk - Page d'accueil
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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 (1), 8-18, 2012
1492012
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 Günther, ...
Metabolomics 3 (3), 223-229, 2007
622007
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
452018
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
20*2017
Towards encrypting industrial data on public distributed networks
JD Preece, JM Easton
2018 IEEE International Conference on Big Data (Big Data), 4540-4544, 2018
142018
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
132017
Innovative applications of big data in the railway industry
S Kohli, AV Kumar, JM Easton, C Roberts
IGI Global, 2017
122017
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
112019
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
112019
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
92014
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
92013
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
82010
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
72015
Ontology-based data management for the GB rail industry Feasibility study
J Tutcher, J Easton, C Roberts, R Myall, M Hargreaves, C Tiller
Rail Saf. Standards Board, London, UK, Tech. Rep, 2013
62013
Ontology engineering the “what’s”,“why’s”, and “how’s” of data exchange
JM Easton, JR Davies, C Roberts
International Journal of Decision Support System Technology (IJDSST) 3 (1 …, 2011
62011
Linked Metabolites: A tool for the construction of directed metabolic graphs
JM Easton, LM Harris, MR Viant, AC Peet, TN Arvanitis
Computers in Biology and Medicine 40 (3), 340-349, 2010
62010
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
52018
Blockchains: A distributed data ledger for the rail industry
JM Easton
Research Anthology on Blockchain Technology in Business, Healthcare …, 2021
42021
From data to information: provision of railway data to passengers in the information age
C Morris, J Easton, C Roberts
11th World Congress on Railway Research, Milan, Italy, 2016
42016
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