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A Deep-Learning Usability Expansion Model of Ocean Observations
The caveat of this approach is that measurements are used only once, at the time of the prediction.
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
To tackle these challenges, we advocate a spatio-temporal physics-coupled neural networks (ST-PCNN) model to learn the underlying physics of the dynamical system and further couple the learned physics to assist the learning of the recurring dynamics.
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