Tag: LSTM

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 ...

A hybrid transformer-LSTM model detects sarcasm in Punjabi social media text with 94.29 percent accuracy, revealing hidden customer dissatisfaction for ...

A 38-year machine learning study in Mymensingh, Bangladesh, shows LSTM networks forecast daily minimum temperatures with high accuracy but detect ...

Researchers have developed a machine learning framework that models long and short-term music preferences, decomposes sparse heterogeneous traffic data, and ...

A Chinese research team has combined COMSOL numerical simulation with an optimized XGBoost-LSTM hybrid machine learning model to predict coal ...