Deep learning algorithms for temperature field reconstruction of nonlinear tomographic absorption spectroscopy-Reference-Cited by-同舟云学术

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Deep learning algorithms for temperature field reconstruction of nonlinear tomographic absorption spectroscopy

Published:2020-11 Issue: Volume:10-12 Page:100024
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Deng Andong^ORCID,Huang Jianqing,Liu Hecong,Cai Weiwei

Publisher

Elsevier BV

Subject

General Medicine

Reference60 articles.

1. Reconstruction of Two-Dimensional Velocity Distribution in Scramjet by Laser Absorption Spectroscopy Tomography;Qu,2019

2. Infrared Laser-Absorption Sensing for Combustion Gases;Goldenstein,2017

3. Dual Frequency Comb Laser Absorption Spectroscopy in a 16 MW Gas Turbine Exhaust;Schroeder,2016

4. Temperature and Multi-Species Measurements by Supercontinuum Absorption Spectroscopy for IC Engine Applications;Werblinski,2013

5. Rapid Spectroscopic Gas Sensing Using Optical Linear Chirp Chain;Lou,2019

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1. Untrained neural network for linear tomographic absorption spectroscopy;Science China Technological Sciences;2024-08-20

2. Multi-View Synthesis of Sparse Projection of Absorption Spectra Based on Joint GRU and U-Net;Applied Sciences;2024-04-27

3. Efficient and robust CNN-LSTM prediction of flame temperature aided light field online tomography;Science China Technological Sciences;2023-12-15

4. Carbon Dioxide Concentration Estimation in Nonuniform Temperature Fields Based on Single-Pass Tunable Diode Laser Absorption Spectroscopy;Applied Spectroscopy;2023-08-07

5. Tomographic measurements of temperature and species concentration via deep learning and wavelength modulated absorption spectroscopy;AIP Advances;2023-07-01

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