NCBI PubMed Central
open access
Design and implementation of a fine-grained detection method for Qinghai Lake birds via fusion of knowledge guidance and feature enhancement.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
Checking your browser - reCAPTCHA Checking your browser before accessing pmc.ncbi.nlm.nih.gov ... Click here if you are not automatically redirected after 5 seconds.
Related documents
- 33 U.S.C. § 735 — Marking pierheads in certain lakes#585874
- TB-DLossNet: Fine-Grained Segmentation of Tea Leaf Diseases Based on Semantic-Visual Fusion.#12753
- U-FISH: a fluorescent spot detector for imaging-based spatial-omics analysis and AI-assisted FISH diagnosis#254267
- Artificial intelligence and decision support in applied ecology#322272
- SALC-Net: A lightweight contour-preserving segmentation network for yak body segmentation in complex grazing environments.#430711
Record · ID 251288 · SHA-256 1e1b3b926fef4e80
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive