Tag: LSTM

New experiments show that low-quality activity labels devastate process discovery and next-activity prediction while leaving conformance checking and time predictions ...

Researchers in China have built a drone trajectory generation system that combines YOLOv8 detection, LSTM motion prediction, and Q-learning-optimized nonlinear ...

A hybrid systematic review and experimental benchmark of five deep learning architectures reveals which neural networks can realistically detect and ...

Egyptian researchers have built a MATLAB simulation framework combining LSTM-based water demand prediction with solar energy management, achieving simulated water ...

Indonesian researchers used a decade of Himawari-8 satellite data, machine learning, and a modified Monte Carlo method to project fine ...

A new study shows that an observation-trained LSTM neural network can produce stable and physically plausible runoff projections for Switzerland ...

A hybrid deep learning framework combining two complementary LSTM models with Bayesian ensemble stacking predicts winter road surface temperature more ...

A new study in PLOS Climate shows that simple deep learning models, especially the LSTM architecture, outperform the physics-based WRF ...

Researchers in China have developed a Sparrow search algorithm-optimized attention-LSTM neural network that predicts step error in five-axis finishing machining ...

Chinese researchers have developed FAELSTM, a dual-attention deep learning framework that outperforms existing models in forecasting agricultural drought by filtering ...