Tag: time series prediction

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 neural network tuned by the Coati Optimization Algorithm achieved a 97.244 percent coefficient of determination in hourly solar ...

Malaysian researchers have built a hybrid CNN-LSTM traffic forecasting system that pairs deep learning accuracy with Formal Concept Analysis to ...

A new difficulty-aware Transformer framework jointly optimized by particle swarm intelligence improves sports score trend prediction while attributing forecasts to ...

Researchers in China have built a physics-guided deep learning model that improves groundwater-level prediction in heavily pumped agricultural aquifers by ...

Researchers have developed MLFQ-Hybrid, a deep learning framework that adapts the operating system concept of multi-level feedback queues to improve ...

Researchers at Guangdong Ocean University have developed a hybrid IFOX-FTSKAN framework that combines an improved fox-inspired optimization algorithm with a ...

Researchers in China have developed a transparent deep learning framework called MDANet that accurately predicts the dynamic behavior of a ...

Researchers have built a closed-loop decision-making system that fuses machine learning prediction with operations research optimization to keep Internet of ...

Researchers have developed a graph neural network model that learns dynamic time delays between variables in multivariate time series, improving ...