Visual deep learning approaches for alphabetic sign language interpretation.

Nath JK, Alam SAM, Ullah Y, Dhar M, Dewanjee J, Umair M, Kamal S, Abdullah ZH

DOI: 10.1038/s41598-026-57945-w
Published: 2026 Jun 13
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-57945-w,
  title = {Visual deep learning approaches for alphabetic sign language interpretation.},
  author = {Nath JK and Alam SAM and Ullah Y and Dhar M and Dewanjee J and Umair M and Kamal S and Abdullah ZH},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-57945-w},
  url = {https://doi.org/10.1038/s41598-026-57945-w}
}

RIS

TY  - JOUR
TI  - Visual deep learning approaches for alphabetic sign language interpretation.
AU  - Nath JK
AU  - Alam SAM
AU  - Ullah Y
AU  - Dhar M
AU  - Dewanjee J
AU  - Umair M
AU  - Kamal S
AU  - Abdullah ZH
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-57945-w
UR  - https://doi.org/10.1038/s41598-026-57945-w
ER  -

APA

JK, N., SAM, A., Y, U., M, D., J, D., M, U., S, K., & ZH, A. (2026). Visual deep learning approaches for alphabetic sign language interpretation.. Scientific reports. https://doi.org/10.1038/s41598-026-57945-w

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pubmed · retrieved 2026-09-26T12:29:50.679Z