Cite
A methodology for scheduling within‐day roadway work zones using deep neural networks and active learning.
MLA
Saneii, Mostafa, et al. “A Methodology for Scheduling Within‐day Roadway Work Zones Using Deep Neural Networks and Active Learning.” Computer-Aided Civil & Infrastructure Engineering, vol. 38, no. 9, June 2023, pp. 1101–26. EBSCOhost, https://doi.org/10.1111/mice.12921.
APA
Saneii, M., Kazemeini, A., Seilabi, S. E., Miralinaghi, M., & Labi, S. (2023). A methodology for scheduling within‐day roadway work zones using deep neural networks and active learning. Computer-Aided Civil & Infrastructure Engineering, 38(9), 1101–1126. https://doi.org/10.1111/mice.12921
Chicago
Saneii, Mostafa, Ali Kazemeini, Sania Esmaeilzadeh Seilabi, Mohammad Miralinaghi, and Samuel Labi. 2023. “A Methodology for Scheduling Within‐day Roadway Work Zones Using Deep Neural Networks and Active Learning.” Computer-Aided Civil & Infrastructure Engineering 38 (9): 1101–26. doi:10.1111/mice.12921.