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Prediction of weight change of glass fiber reinforced polymer matrix composites with SiC nanoparticles after artificial aging by artificial neural network-based model

Crossref DOI link: https://doi.org/10.1007/s10853-025-10747-3

Published Online: 2025-03-09

Published Print: 2025-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yıldırım, Hayri https://orcid.org/0000-0003-0343-2928
Funding

Funding for this research was provided by:

Dicle University
License Information

Text and Data Mining valid from 2025-03-01

Version of Record valid from 2025-03-09
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Article History

Received: 6 December 2024

Accepted: 19 February 2025

First Online: 9 March 2025

Declarations

:

: I would like to declare that the work described is wholly or partly original research that has not been previously published and is not considered for publication elsewhere. There is no conflict of interest in the submission of this manuscript. No potential conflict of interest was reported by the author(s).

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