Artificial-intelligence based prediction of flexible pavement condition deterioration using multi-temporal terrestrial laser scanning observations.
- DOI
- 10.1038/s41598-026-68410-z
- Published
- 2026 Sep 11
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-68410-z,
title = {Artificial-intelligence based prediction of flexible pavement condition deterioration using multi-temporal terrestrial laser scanning observations.},
author = {Alruwaili A and Beshr AAA and Elboraei HM and Sameh S},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-68410-z},
url = {https://doi.org/10.1038/s41598-026-68410-z}
}RIS
TY - JOUR TI - Artificial-intelligence based prediction of flexible pavement condition deterioration using multi-temporal terrestrial laser scanning observations. AU - Alruwaili A AU - Beshr AAA AU - Elboraei HM AU - Sameh S PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-68410-z UR - https://doi.org/10.1038/s41598-026-68410-z ER -
APA
A, A., AAA, B., HM, E., & S, S. (2026). Artificial-intelligence based prediction of flexible pavement condition deterioration using multi-temporal terrestrial laser scanning observations.. Scientific reports. https://doi.org/10.1038/s41598-026-68410-z
Source records
- pubmed · retrieved 2026-11-10T19:08:05.552Z