Phase averaging on CSI from commercial 802.11ac devices detects bird motion several meters off LOS in outdoor low-multipath settings while keeping vegetation effects negligible below 3 m/s wind.
Rethinking energy- performance trade-off in mobile web page loading
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A new CPU power estimation methodology with rail-to-cluster mapping enables analytical CMOS models on commodity Android devices, cutting energy use by 1.4x in AnycostFL while matching accuracy.
citing papers explorer
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CSI Phase Averaging for High-Sensitivity Wi-Fi Sensing in Low-Multipath Environments
Phase averaging on CSI from commercial 802.11ac devices detects bird motion several meters off LOS in outdoor low-multipath settings while keeping vegetation effects negligible below 3 m/s wind.
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A Methodology to Assess Power Modeling in Energy-Aware Federated Learning on Heterogeneous Mobile Devices
A new CPU power estimation methodology with rail-to-cluster mapping enables analytical CMOS models on commodity Android devices, cutting energy use by 1.4x in AnycostFL while matching accuracy.