Long short term memory networks for predicting resilient Modulus of stabilized base material subject to wet-dry cycles.
- DOI
- 10.1038/s41598-024-79588-5
- Published
- 2024 Nov 13
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-024-79588-5,
title = {Long short term memory networks for predicting resilient Modulus of stabilized base material subject to wet-dry cycles.},
author = {Al-Zubi MA and Ahmad M and Abdullah S and Khan BJ and Qamar W and Abdullah GMS and González-Lezcano RA and Paul S and El-Gawaad NSA and Ouahbi T and Kashif M},
year = {2024},
journal = {Scientific reports},
doi = {10.1038/s41598-024-79588-5},
url = {https://doi.org/10.1038/s41598-024-79588-5}
}RIS
TY - JOUR TI - Long short term memory networks for predicting resilient Modulus of stabilized base material subject to wet-dry cycles. AU - Al-Zubi MA AU - Ahmad M AU - Abdullah S AU - Khan BJ AU - Qamar W AU - Abdullah GMS AU - González-Lezcano RA AU - Paul S AU - El-Gawaad NSA AU - Ouahbi T AU - Kashif M PY - 2024 JO - Scientific reports DO - 10.1038/s41598-024-79588-5 UR - https://doi.org/10.1038/s41598-024-79588-5 ER -
APA
MA, A., M, A., S, A., BJ, K., W, Q., GMS, A., RA, G., S, P., NSA, E., T, O., & M, K. (2024). Long short term memory networks for predicting resilient Modulus of stabilized base material subject to wet-dry cycles.. Scientific reports. https://doi.org/10.1038/s41598-024-79588-5
Source records
- pubmed · retrieved 2026-09-25T07:44:12.600Z