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Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density.

, , , , , , and . Remote. Sens., 14 (11): 2613 (2022)

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Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds., , , , , , and . Environ. Model. Softw., (2022)Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network., , , , , , and . ICIAI, page 221-227. ACM, (2021)Conditional Variational Graph Autoencoder for Air Quality Forecasting., , , , , , and . EUSIPCO, page 1442-1446. IEEE, (2022)Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data., , , , , , , and . IEEE SENSORS, page 1-4. IEEE, (2020)Temporal Collaborative Filtering with Graph Convolutional Neural Networks., , and . ICPR, page 4736-4742. IEEE, (2020)Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference., , , , , , and . IEEE Trans. Signal Inf. Process. over Networks, (2022)Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density., , , , , , and . Remote. Sens., 14 (11): 2613 (2022)Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network., , , , , , , and . ICPR Workshops (6), volume 12666 of Lecture Notes in Computer Science, page 139-147. Springer, (2020)