Dynamic calibration of low-cost PM2.5 sensors using trust-based consensus mechanisms
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Low-cost particulate matter (PM) sensors enable high-resolution urban air quality monitoring but face challenges from offsets, scaling mismatches, and drift. We propose an adaptive trust-based calibration framework that first corrects systematic errors and the... ...
