Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an s-shaped riser-Reference-Cited by-同舟云学术

Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an s-shaped riser

Published:2022-03 Issue: Volume:2 Page:100012
ISSN:2772-5081
Container-title:Digital Chemical Engineering
language:en
Short-container-title:Digital Chemical Engineering

Author:

Kuang Boyu^ORCID,Nnabuife Somtochukwu Godfrey^ORCID,Sun Shuang,Whidborne James F.^ORCID,Rana Zeeshan A.^ORCID

Funder

Tianjin Municipal Education Commission

National Natural Science Foundation of China

Natural Science Foundation of Tianjin Municipal Science and Technology Commission

Publisher

Elsevier BV

Reference54 articles.

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5. Heart sound classification based on improved MFCC features and convolutional recurrent neural networks;Deng;Neural Netw.,2020

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