State estimation with limited sensors -- A deep learning based approach

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State estimation with limited sensors -- A deep learning based approach

27 January 2021

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Papers citing "State estimation with limited sensors -- A deep learning based approach"

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Title
EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine Samuel J. Baker Michael A. Hobley Isabel Scherl Xiaohang Fang Felix C. P. Leach M. Davy AI4CE 66 0 0 05 Jun 2024
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator Xiaoyu Zhao Xiaoqian Chen Zhiqiang Gong Weien Zhou Wen Yao Yunyang Zhang AI4CE 68 24 0 20 Feb 2023
FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders Ali Girayhan Ozbay S. Laizet AI4CE 43 2 0 03 Feb 2023
Energy networks for state estimation with random sensors using sparse labels Y. Kumar S. Chakraborty 61 0 0 12 Mar 2022
Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings Ali Girayhan Ozbay S. Laizet AI4CE 62 16 0 08 Feb 2022
A deep learning based surrogate model for stochastic simulators Ak Thakur S. Chakraborty 57 14 0 24 Oct 2021
Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system Shailesh Garg Ankush Gogoi S. Chakraborty B. Hazra AI4CE 58 15 0 29 Mar 2021