Convolutional Fine-Tuned Threshold Adaboost approach for effectual content-based image retrieval.

Cep R, Elangovan M, Ramesh JVN, Chohan MK, Verma A

DOI: 10.1038/s41598-025-93309-6
Published: 2025 Mar 17
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-93309-6,
  title = {Convolutional Fine-Tuned Threshold Adaboost approach for effectual content-based image retrieval.},
  author = {Cep R and Elangovan M and Ramesh JVN and Chohan MK and Verma A},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-93309-6},
  url = {https://doi.org/10.1038/s41598-025-93309-6}
}

RIS

TY  - JOUR
TI  - Convolutional Fine-Tuned Threshold Adaboost approach for effectual content-based image retrieval.
AU  - Cep R
AU  - Elangovan M
AU  - Ramesh JVN
AU  - Chohan MK
AU  - Verma A
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-93309-6
UR  - https://doi.org/10.1038/s41598-025-93309-6
ER  -

APA

R, C., M, E., JVN, R., MK, C., & A, V. (2025). Convolutional Fine-Tuned Threshold Adaboost approach for effectual content-based image retrieval.. Scientific reports. https://doi.org/10.1038/s41598-025-93309-6

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pubmed · retrieved 2026-09-26T02:29:36.994Z