Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

It's convinced the 2nd gen Transformer model is good enough that you will.

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

LSTM Recurrent Neural Network is a special version of the RNN model. It stands for Long Short-Term Memory. The simple RNN has ...

1 Construction Branch of State Gird Jiangsu Electric Power Co. Ltd, Nanjing, China 2 Civil Engineering School, Southeast University, Nanjing, China Concrete-filled steel tube (CFST) columns are widely ...

This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP), a convolutional neural network (CNN), a long short-term memory ...

Abstract: This study explores time series anomaly detection using a long short-term memory (LSTM) neural network to identify abnormal plant conditions—both biotic and abiotic—by analyzing a stem ...

College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China ...