Analysis of Thermosiphon Heat Pipe Performance Using an Artificial Neural Network
Crossref DOI link: https://doi.org/10.1007/s40032-020-00654-8
Published Online: 2021-02-09
Published Print: 2021-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Rajab, Raqeeb H. https://orcid.org/0000-0002-3112-6322
Ahmad, Hussain H.
Text and Data Mining valid from 2021-02-09
Version of Record valid from 2021-02-09
Article History
Received: 2 June 2020
Accepted: 27 December 2020
First Online: 9 February 2021