Dynamic Graph Attention Network Improves Soil Moisture Forecasting in Karnataka
A dynamic graph attention neural network achieved an RMSE of 0.022 m³/m³ when forecasting soil moisture in Karnataka, India, outperforming ...
A dynamic graph attention neural network achieved an RMSE of 0.022 m³/m³ when forecasting soil moisture in Karnataka, India, outperforming ...
A Bayesian Cox–Hawkes model of 2,087 Chicago homicides finds persistent background risk and self-excitation each account for roughly half of ...
A new spatiotemporal model estimates insecticide-treated net coverage, age and type across 44 African countries from 2006 to 2024, finding ...
The KDDHCBT system achieved higher tested accuracy and processing speeds than three comparison models on internal RFID vehicle trajectories and ...
A retrospective study of 15,000 companies found that the MFGCN machine-learning framework outperformed tested baselines in two-quarter financial-crisis warning while ...
A hybrid attention model combined six years of field observations with orchard geography to forecast occurrence levels and intensity for ...
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© 2026 Scienmag - Science Magazine