Tag: LSTM

Researchers used seven machine-learning models, led by Transformer and LSTM architectures, to reconstruct deep soil temperatures in cold-region canal slopes ...

Researchers in South Korea have developed a temporal convolutional network that forecasts dam storage six months in advance, doubling the ...

A new multi-branch deep learning model fusing satellite, weather, soil and extreme climate data predicts winter wheat yields in China ...

Researchers have developed an LSTM-enhanced deep reinforcement learning framework that adaptively schedules cloud workflows, delivering statistically significant improvements in makespan, ...

A new digital twin framework uses ensemble forecasting and a fast, explainable confidence index to defer non-critical water maintenance during ...

Researchers have developed a deterministic duel-based imputation framework that selects missing-data replacements by directly testing candidates against forecasting performance, cutting ...

Researchers have developed BTFA, a behavioral two-factor authentication model that uses touch gestures and sensor data analyzed by an LSTM ...

Researchers have developed a hybrid LSTM–PINN artificial intelligence model that accurately and rapidly predicts the violent impact loads and motion ...

Researchers in China combined explainable machine learning with geographic terrain features to accurately predict and map devastating late-spring frost risks ...

A 25-year review of artificial intelligence applications in streamflow forecasting reveals that feed-forward neural networks dominate the field while long-range ...