- Article
SCE-LSTM: Sparse Critical Event-Driven LSTM Model with Selective Memorization for Agricultural Time-Series Prediction
- Ga-Ae Ryu,
- Tserenpurev Chuluunsaikhan,
- Aziz Nasridinov,
- HyungChul Rah and
- Kwan-Hee Yoo
In the domain of agricultural product sales and consumption forecasting, the presence of infrequent yet impactful events such as livestock epidemics and mass media influences poses substantial challenges. These rare occurrences, termed Sparse Critica...