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On Applying Machine Learning and Simulative

Approaches to Railway Asset Management:

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The Earthworks and Track Circuits Case Studies

Alice Consilvio 1 , José Solís-Hernández 2,*, Noemi Jiménez-Redondo 2, Paolo Sanetti 3,

Federico Papa 3,* and Iñigo Mingolarra-Garaizar 2

1 Department of Mechanical, Energy, Management and Transportation Engineering, University of Genoa,

Via Montallegro 1, 16145 Genoa, Italy; alice.consilvio@unige.it

2 Centro de Estudios de Materiales y Control de Obra S.A., Calle Benaque 9, 29004 Málaga, Spain;

noemi.jimenez@cemosa.es (N.J.-R.); inigo.mingolarra@cemosa.es (I.M.-G.)

3 Hitachi Rail STS, Via P. Mantovani 3-5, 16151 Genova, Italy; paolo.sanetti@hitachirail.com

* Correspondence: jose.solis@cemosa.es (J.S.-H.); federico.papa@hitachirail.com (F.P.);

Tel.: +34-952-230-842 (J.S.-H.); +39-010-655-2476 (F.P.)

Received: 2 February 2020; Accepted: 21 March 2020; Published: 24 March 2020

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