Levenberg-Marquardt deep neural watermarking for 3D mesh using nearest centroid salient point learning.
- DOI
- 10.1038/s41598-024-57360-z
- Published
- 2024 Mar 23
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-024-57360-z,
title = {Levenberg-Marquardt deep neural watermarking for 3D mesh using nearest centroid salient point learning.},
author = {Narendra M and Valarmathi ML and Anbarasi LJ and Gandomi AH},
year = {2024},
journal = {Scientific reports},
doi = {10.1038/s41598-024-57360-z},
url = {https://doi.org/10.1038/s41598-024-57360-z}
}RIS
TY - JOUR TI - Levenberg-Marquardt deep neural watermarking for 3D mesh using nearest centroid salient point learning. AU - Narendra M AU - Valarmathi ML AU - Anbarasi LJ AU - Gandomi AH PY - 2024 JO - Scientific reports DO - 10.1038/s41598-024-57360-z UR - https://doi.org/10.1038/s41598-024-57360-z ER -
APA
M, N., ML, V., LJ, A., & AH, G. (2024). Levenberg-Marquardt deep neural watermarking for 3D mesh using nearest centroid salient point learning.. Scientific reports. https://doi.org/10.1038/s41598-024-57360-z
Source records
- pubmed · retrieved 2026-09-25T17:27:07.395Z