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State of Environmental AI | Report | ScienceToStartup
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Environmental AI
State of Environmental AI
7 papers · avg viability 5.7
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AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting
(8.0)
Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments
(7.0)
NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting
(7.0)
Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction
(6.0)
AIFL: A Global Daily Streamflow Forecasting Model Using Deterministic LSTM Pre-trained on ERA5-Land and Fine-tuned on IFS
(6.0)
Credible CO2 Comparisons: A Machine Learning Approach to Vehicle Powertrain Assessment
(5.0)
AgroFlux: A Spatial-Temporal Benchmark for Carbon and Nitrogen Flux Prediction in Agricultural Ecosystems
(4.0)
Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
(4.0)
