Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
Spatio-temporal forecasting is of great importance in a wide range of dynamic systems applications, such as earth science, transport planning, etc. These applications rely on accurate predictions of spatio-temporal structured data reflecting real-world phenomena. A stunning characteristic is that th...
Main Authors: | Yu Huang, Yufei Tang, Xingquan Zhu, Hanqi Zhuang, Laurent Cherubin |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9919197/ |
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