A Gaussian Process model of drifting response-function coefficients corrects dissolved-oxygen sensor drift, and an uncertainty-based scheduler reallocates calibration effort across sensor networks.
Continuous recording of blood oxygen tensions by polarogra- phy,
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Not all those who drift are lost: Drift correction and calibration scheduling for the IoT
A Gaussian Process model of drifting response-function coefficients corrects dissolved-oxygen sensor drift, and an uncertainty-based scheduler reallocates calibration effort across sensor networks.