Identifying the most suitable machine learning approach for a road digital twin
| Auteur(s): |
Kun Chen
(School of Engineering, University of Birmingham, Birmingham, UK; Nottingham Transportation Engineering Centre, Faculty of Engineering, University of Nottingham, Nottingham, UK)
Mehran Eskandari Torbaghan (School of Engineering, University of Birmingham, Birmingham, UK) Mingjie Chu (Department of Electrical and Electronic Engineering, University of Manchester, Manchester, UK) Long Zhang (Department of Electrical and Electronic Engineering, University of Manchester, Manchester, UK) Alvaro Garcia-Hernandez (Nottingham Transportation Engineering Centre, Faculty of Engineering, University of Nottingham, Nottingham, UK) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, septembre 2021, n. 3, v. 174 |
| Page(s): | 1-14 |
| DOI: | 10.1680/jsmic.22.00003 |
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sur cette fiche - Reference-ID
10665557 - Publié(e) le:
09.05.2022 - Modifié(e) le:
09.05.2022
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