Enhanced Spatiotemporal Prediction Using Physical-guided And Frequency-enhanced Recurrent Neural Networks

Spatiotemporal prediction plays an important role in solving natural problems and processing video frames, especially in weather forecasting and human action recognition. Recent advances attempt to incorporate prior physical knowledge into the deep learning framework to estimate the unknown governin...

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Veröffentlicht in:	arXiv.org 2024-05
Hauptverfasser:	Zhao, Xuanle, Sun, Yue, Zhang, Tielin, Xu, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Human activity recognition Machine learning Neural networks Partial differential equations Recurrent neural networks Runge-Kutta method Weather forecasting
Online-Zugang:	Volltext
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