A new study has developed a two-level satellite timing system using a sparse sampling Long Short-Term Memory (LSTM) algorithm. This innovative approach significantly boosts the autonomous time-keeping ...

Liu, X. , Mei, R. , Zhao, Z. , Wang, S. and Duan, J. (2025) An Optimized Port Operation Efficiency Prediction Model Based on ESN and LSTM. Journal of Software Engineering and Applications, 18, 413-426 ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Beijing, Jan. 22, 2024 (GLOBE NEWSWIRE) -- WiMi Hologram Cloud Inc. (WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced an ...

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...