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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Hybrid GWO–GA optimized LSTM–MLP framework for highly accurate palmer drought severity index prediction

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BibTeX
@article{alhammad2026hybrid,
  title = {{Hybrid GWO–GA optimized LSTM–MLP framework for highly accurate palmer drought severity index prediction}},
  author = {Sarah M. Alhammad and Fatma Harby Mohamed and Ahmed M. Osman and Yasser Fouad and Hazem M. El-Bakry and Ahmed M. Elshewey},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-78725-6},
  url = {https://www.nature.com/articles/s41598-026-78725-6},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Hybrid GWO–GA optimized LSTM–MLP framework for highly accurate palmer drought severity index prediction
AU  - Sarah M. Alhammad
AU  - Fatma Harby Mohamed
AU  - Ahmed M. Osman
AU  - Yasser Fouad
AU  - Hazem M. El-Bakry
AU  - Ahmed M. Elshewey
PY  - 2026
DA  - 2026/10/31
JO  - Scientific Reports
DO  - 10.1038/s41598-026-78725-6
UR  - https://www.nature.com/articles/s41598-026-78725-6
SN  - 2045-2322
ER  -