Deep learning analysis of plasma emissions: A potential system for monitoring methane and hydrogen in the pyrolysis processes-Reference-Cited by-同舟云学术

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Deep learning analysis of plasma emissions: A potential system for monitoring methane and hydrogen in the pyrolysis processes

Published:2024-03 Issue: Volume:58 Page:1030-1043
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Salimian Ali,Grisan Enrico^ORCID

Publisher

Elsevier BV

Reference67 articles.

1. Hydrogen as an energy carrier;Viswanathan,2017

2. Hydrogen production by methane decomposition: a review;Abbas;Int J Hydrogen Energy,2010

3. A review on hydrogen energy production from electrochemical system: benefits and challenges;Karchiyappan;Energy Sources, Part A,2019

4. Kinetic model of homogeneous thermal decomposition of methane and ethane;Younessi-Sinaki;Int J Hydrogen Energy,2009

5. K2CO3-promoted methane pyrolysis on nickel/coal-char hybrids;Zhang;J Anal Appl Pyrol,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A technique for detecting hydrogen and methane using refractive index sensitivity;Process Safety and Environmental Protection;2024-08

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