AI RESEARCH
A temporal deep learning framework for calibration of low-cost air quality sensors
arXiv CS.LG
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ArXi:2604.21527v1 Announce Type: new Low-cost air quality sensors (LCS) provide a practical alternative to expensive regulatory-grade instruments, making dense urban monitoring networks possible. Yet their adoption is limited by calibration challenges, including sensor drift, environmental cross-sensitivity, and variability in performance from device to device.