Multi-class classification framework for ear imaging using attention-based hybrid dense CNN and non-linear manifold approximation

Mohammed Alezzi

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DOI: 10.65115/7dnryk35
Published: 2025-06-30
Container: Samarra Journal of Engineering Science and Research
Publisher: University of Samarra, Electronic Computer Center
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.65115/7dnryk35,
  title = {Multi-class classification framework for ear imaging using attention-based hybrid dense CNN and non-linear manifold approximation},
  author = {Mohammed Alezzi},
  year = {2025},
  journal = {Samarra Journal of Engineering Science and Research},
  doi = {10.65115/7dnryk35},
  url = {https://doi.org/10.65115/7dnryk35}
}

RIS

TY  - JOUR
TI  - Multi-class classification framework for ear imaging using attention-based hybrid dense CNN and non-linear manifold approximation
AU  - Mohammed Alezzi
PY  - 2025
JO  - Samarra Journal of Engineering Science and Research
DO  - 10.65115/7dnryk35
UR  - https://doi.org/10.65115/7dnryk35
ER  -

APA

Alezzi, M. (2025). Multi-class classification framework for ear imaging using attention-based hybrid dense CNN and non-linear manifold approximation. Samarra Journal of Engineering Science and Research. https://doi.org/10.65115/7dnryk35

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crossref · retrieved 2026-09-24T20:38:29.193Z