Identifying the most suitable machine learning approach for a road digital twin
| Autor(en): |
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) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, September 2021, n. 3, v. 174 |
| Seite(n): | 1-14 |
| DOI: | 10.1680/jsmic.22.00003 |
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Datenseite - Reference-ID
10665557 - Veröffentlicht am:
09.05.2022 - Geändert am:
09.05.2022
Structurae kooperiert mit
