A deep hybrid inception network model with entropy based attention for automated iron ore image characterization

Shama Firdaus, Shamama Anwar, Subrajeet Mohapatra

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DOI: 10.1038/s41598-025-22441-0
Published: 2025-11-04
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-22441-0,
  title = {A deep hybrid inception network model with entropy based attention for automated iron ore image characterization},
  author = {Shama Firdaus and Shamama Anwar and Subrajeet Mohapatra},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-22441-0},
  url = {https://doi.org/10.1038/s41598-025-22441-0}
}

RIS

TY  - JOUR
TI  - A deep hybrid inception network model with entropy based attention for automated iron ore image characterization
AU  - Shama Firdaus
AU  - Shamama Anwar
AU  - Subrajeet Mohapatra
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-22441-0
UR  - https://doi.org/10.1038/s41598-025-22441-0
ER  -

APA

Firdaus, S., Anwar, S., & Mohapatra, S. (2025). A deep hybrid inception network model with entropy based attention for automated iron ore image characterization. Scientific Reports. https://doi.org/10.1038/s41598-025-22441-0

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crossref · retrieved 2026-09-26T04:44:24.402Z