Transfer learning from London to Bristol with a GraphSAGE model and autoregressive inputs reduced NO2 prediction error (NRMSE down 8.6%, gradient RMSE down 32.6%) versus a Bristol-only baseline.
Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments
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Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
Transfer learning from London to Bristol with a GraphSAGE model and autoregressive inputs reduced NO2 prediction error (NRMSE down 8.6%, gradient RMSE down 32.6%) versus a Bristol-only baseline.