Factorial design–machine learning approach for predicting incident durations
Author(s): |
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) |
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Medium: | journal article |
Language(s): | English |
Published in: | Computer-Aided Civil and Infrastructure Engineering, March 2023, n. 5, v. 38 |
Page(s): | 660-680 |
DOI: | 10.1111/mice.12883 |
- About this
data sheet - Reference-ID
10686073 - Published on:
13/08/2022 - Last updated on:
21/04/2023