A Deep Learning Approach for Predicting Spatiotemporal Dynamics From Sparsely Observed Data

In this paper, we consider the problem of learning prediction models for spatiotemporal physical processes driven by unknown partial differential equations (PDEs). We propose a deep learning framework that learns the underlying dynamics and predicts its evolution using sparsely distributed data site...

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Bibliographic Details
Main Authors: Priyabrata Saha, Saibal Mukhopadhyay
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9416427/

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