HAL (France)
open access
Adaptive Data-Driven Framework for Unsupervised Learning of Air Pollution in Urban Micro-Environments
(1) Background: Urban traffic micro-environments show strong spatial and temporal variability. Short and intensive campaigns remain a practical approach for understanding exposure patterns in complex environments, but they need clear and interpretable summaries that are not limited to simple site or
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