Utilizing Features Extracted from Registered 60Co Gamma-Ray Spectrum in One Detector as Inputs of Artificial Neural Network for Independent Flow Regime Void Fraction Prediction
Crossref DOI link: https://doi.org/10.1007/s12647-018-0298-9
Published Online: 2019-01-02
Published Print: 2019-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Roshani, G. H.
Nazemi, E. http://orcid.org/0000-0001-5457-6943
Shama, F.
Text and Data Mining valid from 2019-01-02
Article History
Received: 20 May 2018
Accepted: 19 December 2018
First Online: 2 January 2019