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Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (a review). Part 2: artificial neural networks and deep learning

Crossref DOI link: https://doi.org/10.1007/s11003-025-00899-7

Published Online: 2025-05-21

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

Authors

Stankevych, O. M. https://orcid.org/0000-0002-5977-6351
Rebot, D. P. https://orcid.org/0000-0002-3583-0800
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Text and Data Mining valid from 2025-05-21

Version of Record valid from 2025-05-21
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Article History

Received: 25 March 2024

Accepted: 6 June 2024

First Online: 21 May 2025

Conflict of interest

: The authors declare that they have no potential conflict of interest in relation to the study in this paper. The authors have no relevant financial or non-financial interests to disclose.

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