Multiscale decomposition and fuzzy-rule attention: A transferable cross-basin framework for long-term water quality forecasting.

Hu J, Li Y, Jiang D, Zhang D, Lu C, Zhi W

Open source

DOI
10.1016/j.watres.2026.125593
Published
2026 May 1
Container
Water research
Publisher
Not recorded
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.watres.2026.125593,
  title = {Multiscale decomposition and fuzzy-rule attention: A transferable cross-basin framework for long-term water quality forecasting.},
  author = {Hu J and Li Y and Jiang D and Zhang D and Lu C and Zhi W},
  year = {2026},
  journal = {Water research},
  doi = {10.1016/j.watres.2026.125593},
  url = {https://doi.org/10.1016/j.watres.2026.125593}
}

RIS

TY  - JOUR
TI  - Multiscale decomposition and fuzzy-rule attention: A transferable cross-basin framework for long-term water quality forecasting.
AU  - Hu J
AU  - Li Y
AU  - Jiang D
AU  - Zhang D
AU  - Lu C
AU  - Zhi W
PY  - 2026
JO  - Water research
DO  - 10.1016/j.watres.2026.125593
UR  - https://doi.org/10.1016/j.watres.2026.125593
ER  - 

APA

J, H., Y, L., D, J., D, Z., C, L., & W, Z. (2026). Multiscale decomposition and fuzzy-rule attention: A transferable cross-basin framework for long-term water quality forecasting.. Water research. https://doi.org/10.1016/j.watres.2026.125593

Source records