Factorial design–machine learning approach for predicting incident durations
| Autor(en): |
Khaled Hamad
(Department of Civil and Environmental Engineering College of Engineering, University of Sharjah Sharjah UAE)
Lubna Obaid (Department of Civil and Environmental Engineering College of Engineering, University of Sharjah Sharjah UAE) Salah Haridy (Department of Industrial Engineering and Engineering Management College of Engineering, University of Sharjah Sharjah UAE) Waleed Zeiada (Department of Civil and Environmental Engineering College of Engineering, University of Sharjah Sharjah UAE) Ghazi Al‐Khateeb (Department of Civil and Environmental Engineering College of Engineering, University of Sharjah Sharjah UAE) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering, März 2023, n. 5, v. 38 |
| Seite(n): | 660-680 |
| DOI: | 10.1111/mice.12883 |
- Über diese
Datenseite - Reference-ID
10686073 - Veröffentlicht am:
13.08.2022 - Geändert am:
21.04.2023
Structurae kooperiert mit
