Crossmark

A review of multimodal surrogate machine learning models for real-time control and defect mitigation in automated composite manufacturing

Published Online: 2026-02-25

Authors

Malashin, Ivan P.

Martysyuk, Dmitry

Nelyub, Vladimir

Borodulin, Aleksei

Gantimurov, Andrei

Tynchenko, Vadim
License Information

Text and Data Mining valid from 2026-02-25

Accepted Manuscript valid from 2026-02-25
More Information

Article History

Received: 5 October 2025

Accepted: 22 January 2026

First Online: 25 February 2026

Declarations

:

: This research did not involve human participants, animals, or sensitive data, and therefore no ethical approval was required.

: Not applicable.

: All authors consent to the publication of this work.

: The authors declare no competing interests.

Document is current