A deep learning-based fusion framework for robust fine-grained classification of sea turtles in support of marine biodiversity

Parkpoom Chaisiriprasert, Apicha Deearom

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DOI: 10.1371/journal.pone.0344942
Published: 2026-06-09
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0344942,
  title = {A deep learning-based fusion framework for robust fine-grained classification of sea turtles in support of marine biodiversity},
  author = {Parkpoom Chaisiriprasert and Apicha Deearom},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0344942},
  url = {https://doi.org/10.1371/journal.pone.0344942}
}

RIS

TY  - JOUR
TI  - A deep learning-based fusion framework for robust fine-grained classification of sea turtles in support of marine biodiversity
AU  - Parkpoom Chaisiriprasert
AU  - Apicha Deearom
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0344942
UR  - https://doi.org/10.1371/journal.pone.0344942
ER  -

APA

Chaisiriprasert, P., & Deearom, A. (2026). A deep learning-based fusion framework for robust fine-grained classification of sea turtles in support of marine biodiversity. PLOS One. https://doi.org/10.1371/journal.pone.0344942

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crossref · retrieved 2026-09-25T19:48:40.329Z