Water RSNet: An improved water quality prediction model combining dual-temporal and dynamic multimodal fusion

Xiangfeng Bu, Li Wang, Zhiyao Zhao, Jiping Xu, Xiaoyi Wang

Open source

DOI: 10.1016/j.watres.2026.126950
Published: 2027-01
Container: Water Research
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.watres.2026.126950,
  title = {Water RSNet: An improved water quality prediction model combining dual-temporal and dynamic multimodal fusion},
  author = {Xiangfeng Bu and Li Wang and Zhiyao Zhao and Jiping Xu and Xiaoyi Wang},
  year = {2027},
  journal = {Water Research},
  doi = {10.1016/j.watres.2026.126950},
  url = {https://doi.org/10.1016/j.watres.2026.126950}
}

RIS

TY  - JOUR
TI  - Water RSNet: An improved water quality prediction model combining dual-temporal and dynamic multimodal fusion
AU  - Xiangfeng Bu
AU  - Li Wang
AU  - Zhiyao Zhao
AU  - Jiping Xu
AU  - Xiaoyi Wang
PY  - 2027
JO  - Water Research
DO  - 10.1016/j.watres.2026.126950
UR  - https://doi.org/10.1016/j.watres.2026.126950
ER  -

APA

Bu, X., Wang, L., Zhao, Z., Xu, J., & Wang, X. (2027). Water RSNet: An improved water quality prediction model combining dual-temporal and dynamic multimodal fusion. Water Research. https://doi.org/10.1016/j.watres.2026.126950

Source records

crossref · retrieved 2026-09-25T13:54:53.651Z