A novel and robust deep learning model for sibling firearm matching
- DOI
- 10.1016/j.forsciint.2026.113061
- Published
- 2026-10
- Container
- Forensic Science International
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.forsciint.2026.113061,
title = {A novel and robust deep learning model for sibling firearm matching},
author = {Efe Arin and I. Samil Yetik},
year = {2026},
journal = {Forensic Science International},
doi = {10.1016/j.forsciint.2026.113061},
url = {https://doi.org/10.1016/j.forsciint.2026.113061}
}RIS
TY - JOUR TI - A novel and robust deep learning model for sibling firearm matching AU - Efe Arin AU - I. Samil Yetik PY - 2026 JO - Forensic Science International DO - 10.1016/j.forsciint.2026.113061 UR - https://doi.org/10.1016/j.forsciint.2026.113061 ER -
APA
Arin, E., & Yetik, I. S. (2026). A novel and robust deep learning model for sibling firearm matching. Forensic Science International. https://doi.org/10.1016/j.forsciint.2026.113061
Source records
- crossref · retrieved 2026-09-26T02:30:41.633Z