Tag: hybrid deep learning models

A hybrid VMD-CBiLSTM model optimized by the shuffled frog-leaping algorithm achieved an average R2 of 0.981 when predicting PM2.5 concentrations ...

A hybrid AI framework reconstructs six decades of cesium-137 measurements in China's coastal seas and projects the isotope will fall ...

Researchers have built a hybrid LSTM-BiLSTM deep learning model that adapts to seasonal wind patterns and outperforms transformers while using ...

A hybrid CNN–LSTM deep learning model tuned by Bayesian optimization outperformed classical and standalone neural benchmarks in quarterly GDP forecasts ...

Researchers at the University of Qom have developed BT-Synergy, a hybrid BiLSTM-Transformer deep learning model that predicts synergistic cancer drug ...

A groundbreaking study from an innovative research team underscores the potential of artificial intelligence in medicine, particularly in the realm ...