DataCite
metadata only
CC BY 4.0
A GANs-based Deep Learning Framework for Calculating Climatological Monthly Rainfall Erosivity
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
- A novel wind shear detection algorithm based point measurement meteorological observation, forecasting deep learning methods: validation study on Antalya LLWAS#243441
- Data-driven interpretability of urban tree species classification from deep learning models and Satellite Image Time Series#161378
- Assessing the environmental costs of multi-scale recurrent neural networks for sustainable extreme rainfall nowcasting.#123091
- Pure and physics-guided deep learning approaches for spatio-temporal groundwater level prediction#1141506
- Metaheuristic-enhanced deep learning for monthly pan evaporation prediction under limited climatic data.#152184
Record · ID 12105
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