Publications by authors named "Majed Omar Ahmad Alsaydalani"

Article Synopsis
  • * This study explores two forecasting models, Long Short-Term Memory (LSTM) and a hybrid model utilizing regularized extreme learning machine and Snake algorithm, to predict hydrological droughts in Malaysia for up to six months.
  • * Results indicate the hybrid model outperformed traditional models in accuracy and reliability, showing improvements in forecast effectiveness and long-term prediction capabilities compared to the LSTM approach.
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