A methodology for scheduling within‐day roadway work zones using deep neural networks and active learning
| Author(s): |
Mostafa Saneii
(Department of Civil Engineering Sharif University of Technology Tehran Iran)
Ali Kazemeini (Department of Civil Engineering University of British Columbia Vancouver Canada) Sania Esmaeilzadeh Seilabi (Lyles School of Civil Engineering Purdue University West Lafayette Indiana USA) Mohammad Miralinaghi (Department of Civil, Architectural, and Environmental Engineering Illinois Institute of Technology Chicago Illinois USA) Samuel Labi (Lyles School of Civil Engineering Purdue University West Lafayette Indiana USA) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Computer-Aided Civil and Infrastructure Engineering, 14 May 2023, n. 9, v. 38 |
| Page(s): | 1101-1126 |
| DOI: | 10.1111/mice.12921 |
- About this
data sheet - Reference-ID
10693862 - Published on:
23/09/2022 - Last updated on:
02/09/2023
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