A new study has developed a two-level satellite timing system using a sparse sampling Long Short-Term Memory (LSTM) algorithm.

After optimizing the three most important hyperparameters of the LSTM using MSADBO, the efficiency of the model has shown a drastic improvement. Comparisons with conventional and machine ...

Accurate and timely prediction of crop growth is of great significance to ensure crop yields, and researchers have developed several crop models for the prediction of crop growth. However, there are ...

Optimized LSTM for Accurate Smart Grid Stability Prediction Using a Novel Optimization Algorithm Faten Khalid Karim 1 Doaa Sami Khafaga 1 El-Sayed M. El-kenawy 2 * Marwa M. Eid 2,3 Abdelhameed Ibrahim ...

The methodological novelty of this study lies in its reliance on a multi-algorithm approach, involving RF, LSTM networks, and clustering analysis. Previous studies on food security and feed efficiency ...