Physically Constrained and Location-Aware Machine Learning for Joint Prediction of Clay Compression and Recompression Indices
- DOI
- 10.3390/app16147068
- Published
- 07
- Container
- Applied Sciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/app16147068,
title = {Physically Constrained and Location-Aware Machine Learning for Joint Prediction of Clay Compression and Recompression Indices},
author = {Abdelatif Zeroual and Abolfazl Baghbani and Aissa Lahlouhi and Arash Aminaee and Firas Daghistani and Hossam Abuel-Naga},
year = {2026},
journal = {Applied Sciences},
doi = {10.3390/app16147068},
url = {https://doi.org/10.3390/app16147068}
}RIS
TY - JOUR TI - Physically Constrained and Location-Aware Machine Learning for Joint Prediction of Clay Compression and Recompression Indices AU - Abdelatif Zeroual AU - Abolfazl Baghbani AU - Aissa Lahlouhi AU - Arash Aminaee AU - Firas Daghistani AU - Hossam Abuel-Naga PY - 2026 JO - Applied Sciences DO - 10.3390/app16147068 UR - https://doi.org/10.3390/app16147068 ER -
APA
Zeroual, A., Baghbani, A., Lahlouhi, A., Aminaee, A., Daghistani, F., & Abuel-Naga, H. (2026). Physically Constrained and Location-Aware Machine Learning for Joint Prediction of Clay Compression and Recompression Indices. Applied Sciences. https://doi.org/10.3390/app16147068
Source records
- doaj · retrieved 2026-11-10T07:20:13.195Z