Achieving causality-aware interpretable modeling of riverine suspended sediment via collaborative causal paths and multiscale temporal dependencies.
- DOI
- 10.1016/j.watres.2026.126756
- Published
- 2026 Aug 19
- Container
- Water research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.126756,
title = {Achieving causality-aware interpretable modeling of riverine suspended sediment via collaborative causal paths and multiscale temporal dependencies.},
author = {Yue ZJ and Wang NN and Xiao HB and Shi ZH},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2026.126756},
url = {https://doi.org/10.1016/j.watres.2026.126756}
}RIS
TY - JOUR TI - Achieving causality-aware interpretable modeling of riverine suspended sediment via collaborative causal paths and multiscale temporal dependencies. AU - Yue ZJ AU - Wang NN AU - Xiao HB AU - Shi ZH PY - 2026 JO - Water research DO - 10.1016/j.watres.2026.126756 UR - https://doi.org/10.1016/j.watres.2026.126756 ER -
APA
ZJ, Y., NN, W., HB, X., & ZH, S. (2026). Achieving causality-aware interpretable modeling of riverine suspended sediment via collaborative causal paths and multiscale temporal dependencies.. Water research. https://doi.org/10.1016/j.watres.2026.126756
Source records
- pubmed · retrieved 2026-09-25T14:21:55.434Z