Citation
Saeed, U., Abbasi, Q. H., & Shah, S. A. (in press). AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning. CCF Transactions on Pervasive Computing and Interaction, https://doi.org/10.1007/s42486-022-00113-6
Authors
Keywords
RF sensing, Ensemble learning, Software-defined radio, Anomalous respiration, Smart healthcare
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