Crossmark

ConFERNet: a low trainable parameters based novel light-weight convolutive feature extraction recurrent network for high accuracy suspect identification

Crossref DOI link: https://doi.org/10.1007/s11760-024-03603-5

Published Online: 2024-12-26

Published Print: 2025-02

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

Authors

Shree, Manu https://orcid.org/0009-0007-8493-5282
Mohapatra, Amar Kumar

Suwanwiwat, Hemmaphan

Vishwakarma, Virendra P.

Lee, Ickjai
License Information

Text and Data Mining valid from 2024-12-26

Version of Record valid from 2024-12-26
More Information

Article History

Received: 26 June 2024

Revised: 28 September 2024

Accepted: 29 October 2024

First Online: 26 December 2024

Declarations

:

: The authors declare no Conflict of interest.

: Ethics Approval This work does not contain any studies with human partici- pants or animals performed by any of the authors.

: All authors have read and agreed for publication of the manuscript. References

Document is current

Any future updates will be listed below