Coding metasurfaces provide an effective approach for manipulating electromagnetic scattering through discrete coding states. However, obtaining angular-domain scattering responses for a large number of coding configurations remains computationally expensive with full-wave electromagnetic simulations. To address this i...
Jia-Hao Ma, Xiao-Xing Fang, Hang Yuan· Applied Sciences· 0 citations
A Tensor Network Extended Kalman Filter (TNEKF) framework for short-term metro OD demand forecasting that consistently outperforms ARIMA, conventional EKF, and several state-of-the-art spatiotemporal prediction models in terms of MAE, RMSE, and MAPE.
Aijing Su, Bing Wu, Xiaoxing Fang· ISPRS International Journal...· 0 citations
A novel spatiotemporal Kalman filter network (ST-KFNet) framework for metro demand forecasting by integrating an autoregressive integrated moving average module, a Kalman filter (KF) module, and a convolutional neural network (CNN)-based variational autoencoder (VAE) module is proposed.
Ajing Su, Bing Wu, Xiaoxing Fang· Journal of Transportation En...· 0 citations
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