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 -