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Intelligent fault detection and classification of lithium-ion batteries using spike-induced graph neural network and orangutan optimization algorithm framework

Crossref DOI link: https://doi.org/10.1007/s00202-026-03529-w

Published Online: 2026-02-19

Published Print: 2026-03

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

Authors

Balaram, Allam

Ramu, V.

Guganathan, L.

Anupama, J.
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Text and Data Mining valid from 2026-02-19

Version of Record valid from 2026-02-19
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Article History

Received: 29 September 2025

Accepted: 19 January 2026

First Online: 19 February 2026

Declarations

:

: The authors declare no competing interests.

: This article does not contain any studies with human participants or animals performed by any of the authors.

: All the authors involved have agreed to participate in this submitted article.

: All the authors involved in this manuscript give full consent for publication of this submitted article.

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