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.
View Article and Find Full Text PDF