NCBI PubMed Central
open access
GGAR: gradient guided adaptive regularization enhances deep learning classification of brassica species using codon usage bias.
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.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Massively parallel characterization and deep learning of enhancers in plant genomes#234315
- Deep learning-based citrus plant disease classification using a computationally efficient CNN model.#305407
- Methodological challenges in machine learning and deep learning applied to food analysis: A critical review#297023
- Optimized CNN-based ensemble deep learning approach for potato leaf disease detection with data augmentation.#381083
- Optimized CNN-based ensemble deep learning approach for potato leaf disease detection with data augmentation#195002
Record · ID 209557
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