# EFFICIENT UNDERWATER IMAGE CLASSIFICATION WITH ENHANCED YOLOV5 AND BEARDED DRAGON OPTIMIZATION (BeardYOLO)

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-underwater-image-classification-with-enhanced-yolov5-and-bearded/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Journal of Theoretical and Applied Information Technology |
| Citations | 0 |
| DOI | 10.5281/zenodo.18090708 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://doi.org/10.5281/zenodo.18090708 |
| OpenAlex ID | https://openalex.org/W7117709948 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Journal of Theoretical and Applied Information Technology](https://scholariq.org/researchers/journal-of-theoretical-and-applied-information-technology/)

## Paper journal

- [Zenodo (CERN European Organization for Nuclear Research)](https://scholariq.org/journals/zenodo-cern-european-organization-for-nuclear-research/)

## Paper primary topic

- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

## Paper topics

- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)
- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.