HAL (France)
open access
Hybrid Machine Learning Models for Predicting the Impact of Light Wavelengths on Algal Growth in Freshwater Ecosystems
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
- Data from: Fluorescent protein-mediated colour polymorphism in reef corals: multi-copy genes extend the adaptation/acclimatization potential to variable light environments#361092
- DEEPFIN: A deep learning tool for fish image classification from unlabeled data.#615982
- Adopting Artificial Intelligence and Machine Learning for Conservation and Animal Ecology in Protected Areas: A Case of Gorillas and Golden Monkeys in Mgahinga National Park#231488
- VIS–NIR–SWIR Proximal Spectroradiometry Coupled with Machine Learning and Deep Learning for Ornamental Plant Identification and Classification#784699
- Data Sheet 1_High-accuracy fish species identification using transfer learning on vision foundation models.pdf#205393
Record · ID 448852
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