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Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

Abstract: Estimating time-varying signals becomes particularly challenging in the face of non-Gaussian (e.g., sparse) and/or rapidly time-varying process noise. By building upon the recent progress in ...

Experiments on a heterogeneous IoT testbed demonstrate that Gaussian process regression accurately predicts execution latencies, and the linear regression model provides reliable power consumption ...