A hybrid framework for water-quality prediction using WOA-optimized EEMD and CNN-LSTM

Xuemei Xie, Jiawei Liang

Open source

DOI: 10.1007/s10661-026-16043-0
Published: 2026-10-14
Container: Environmental Monitoring and Assessment
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10661-026-16043-0,
  title = {A hybrid framework for water-quality prediction using WOA-optimized EEMD and CNN-LSTM},
  author = {Xuemei Xie and Jiawei Liang},
  year = {2026},
  journal = {Environmental Monitoring and Assessment},
  doi = {10.1007/s10661-026-16043-0},
  url = {https://doi.org/10.1007/s10661-026-16043-0}
}

RIS

TY  - JOUR
TI  - A hybrid framework for water-quality prediction using WOA-optimized EEMD and CNN-LSTM
AU  - Xuemei Xie
AU  - Jiawei Liang
PY  - 2026
JO  - Environmental Monitoring and Assessment
DO  - 10.1007/s10661-026-16043-0
UR  - https://doi.org/10.1007/s10661-026-16043-0
ER  -

APA

Xie, X., & Liang, J. (2026). A hybrid framework for water-quality prediction using WOA-optimized EEMD and CNN-LSTM. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-026-16043-0

Source records

crossref · retrieved 2026-11-10T12:49:30.478Z