An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning
Abstract Deep learning primarily operates on images which contain hidden patterns that are quantified through pixel intensities. Deep learning is used to analyze the image patterns and to recognize the objects. The detection process includes the creation of labels with bounding boxes, and it will be...
Saved in:
| Main Authors: | L. Ravi Kumar, Ravi Kumar Tata, T. R. Mahesh, Endris Mohammed Ali |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-06758-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A deep learning model for estimating body weight of live pacific white shrimp in a clay pond shrimp aquaculture
by: Nitthita Chirdchoo, et al.
Published: (2024-12-01) -
Integrating a Centrifugal Extraction and Pipeline Transportation System to Improve Efficiency in Shrimp Harvesting Management
by: Songphon Thoetrattanakiat, et al.
Published: (2025-04-01) -
Effect of Shrimp Oil-Based Simulated Fat on Flavor and Physical Properties of Shrimp Surimi Products
by: GUO Yuchen, HUANG Jinyan, ZHAO Yuan, SHI Linfan, REN Zhongyang, WENG Wuyin
Published: (2025-06-01) -
ShrimpDiseaseBD: An image dataset for detecting shrimp diseases in the aquaculture sector of BangladeshMendeley Data
by: Mohammad Manzurul Islam, et al.
Published: (2025-06-01) -
Image-Based Shrimp Aquaculture Monitoring
by: Beatriz Correia, et al.
Published: (2025-01-01)