Enhancing artistic style classification through a novel ArtFusionNet framework.

Liang S, Pan L, Mohammadzadeh F, Khishe M, Ismail Kh T, Shambour QY, Ghazal TM.

Open source

DOI: 10.1038/s41598-025-20087-6
Published: 2025-10-16
Container: Sci Rep
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-20087-6,
  title = {Enhancing artistic style classification through a novel ArtFusionNet framework.},
  author = {Liang S and  Pan L and  Mohammadzadeh F and  Khishe M and  Ismail Kh T and  Shambour QY and  Ghazal TM.},
  year = {2025},
  journal = {Sci Rep},
  doi = {10.1038/s41598-025-20087-6},
  url = {https://doi.org/10.1038/s41598-025-20087-6}
}

RIS

TY  - JOUR
TI  - Enhancing artistic style classification through a novel ArtFusionNet framework.
AU  - Liang S
AU  -  Pan L
AU  -  Mohammadzadeh F
AU  -  Khishe M
AU  -  Ismail Kh T
AU  -  Shambour QY
AU  -  Ghazal TM.
PY  - 2025
JO  - Sci Rep
DO  - 10.1038/s41598-025-20087-6
UR  - https://doi.org/10.1038/s41598-025-20087-6
ER  -

APA

S, L., L, P., F, M., M, K., T, I. K., QY, S., & TM., G. (2025). Enhancing artistic style classification through a novel ArtFusionNet framework.. Sci Rep. https://doi.org/10.1038/s41598-025-20087-6

Source records

europe-pmc · retrieved 2026-09-27T07:32:43.561Z
doaj · retrieved 2026-09-27T07:32:43.574Z