Business Intelligence and Machine Learning Methods for Predictive Maintenance in Greek railways

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ISSN Print: 2165-3917
ISSN Online: 2165-3925
www.scirp.org/journal/ojapps
E-mail: ojapps@scirp.org

"Business Intelligence and Machine Learning Methods for Predictive Maintenance in Greek railways"
written by Ilias Kalathas, Michail Papoutsidakis, Christos Drosos,
published by Open Journal of Applied Sciences, Vol.11 No.1A, 2021

has been cited by the following article(s):

[1]	Towards predictive maintenance: the case of the aeronautical industry
	Procedia Computer Science, 2022

[2]	The division of oil and gas accumulation assemblage in Sichuan Basin and the construction of favorable accumulation assemblage prediction model
	Energy Reports, 2022

[1]	Optimal maintenance for a waste-to-energy plant using DEMATEL: a case study Clean Technologies and Environmental Policy, 2023 DOI:10.1007/s10098-023-02506-2

[2]	Optimal maintenance for a waste-to-energy plant using DEMATEL: a case study Clean Technologies and Environmental Policy, 2023 DOI:10.1007/s10098-023-02506-2

[3]	Towards predictive maintenance: the case of the aeronautical industry Procedia Computer Science, 2022 DOI:10.1016/j.procs.2022.07.115

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