An offline deep learning model for bovine muzzle identification using the variance of the laplacian, YOLOv8, EfficientNetV2-S, and ArcFace
- DOI
- 10.1186/s12917-026-05948-0
- Published
- 2026-10-19
- Container
- BMC Veterinary Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12917-026-05948-0,
title = {An offline deep learning model for bovine muzzle identification using the variance of the laplacian, YOLOv8, EfficientNetV2-S, and ArcFace},
author = {Ahlam G. Khalifa and Ahmed S. Abdultawab},
year = {2026},
journal = {BMC Veterinary Research},
doi = {10.1186/s12917-026-05948-0},
url = {https://doi.org/10.1186/s12917-026-05948-0}
}RIS
TY - JOUR TI - An offline deep learning model for bovine muzzle identification using the variance of the laplacian, YOLOv8, EfficientNetV2-S, and ArcFace AU - Ahlam G. Khalifa AU - Ahmed S. Abdultawab PY - 2026 JO - BMC Veterinary Research DO - 10.1186/s12917-026-05948-0 UR - https://doi.org/10.1186/s12917-026-05948-0 ER -
APA
Khalifa, A. G., & Abdultawab, A. S. (2026). An offline deep learning model for bovine muzzle identification using the variance of the laplacian, YOLOv8, EfficientNetV2-S, and ArcFace. BMC Veterinary Research. https://doi.org/10.1186/s12917-026-05948-0
Source records
- crossref · retrieved 2026-11-07T05:57:07.666Z