Environmental AI Comparison Hub
5 papers - avg viability 5.0
Top Papers
- Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction(6.0)
Develop models to improve spatial and temporal prediction accuracy of ecosystem carbon fluxes using Role-Aware Conditional Inference.
- AIFL: A Global Daily Streamflow Forecasting Model Using Deterministic LSTM Pre-trained on ERA5-Land and Fine-tuned on IFS(6.0)
AIFL offers reliable global streamflow forecasts using an LSTM model pre-trained on ERA5-Land and fine-tuned on IFS data.
- Credible CO2 Comparisons: A Machine Learning Approach to Vehicle Powertrain Assessment(5.0)
A machine learning framework for comparing CO2 emissions between ICEVs and EVs under identical driving conditions.
- AgroFlux: A Spatial-Temporal Benchmark for Carbon and Nitrogen Flux Prediction in Agricultural Ecosystems(4.0)
Launch a leading dataset and benchmark to advance AI models for agroecosystem GHG predictions.
- Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes(4.0)
TAM-RL enhances the accuracy of terrestrial carbon flux estimates through advanced representation learning techniques.