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A Multi-Sampling Convolutional Neural Network-Based RF Fingerprinting Approach for Low-Power Devices

Research article (IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2019) · cited 29× · AI/ML
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A Multi-Sampling Convolutional Neural Network-Based RF Fingerprinting Approach for Low-Power Devices

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A Multi-Sampling Convolutional Neural Network-Based RF Fingerprinting Approach for Low-Power Devices is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Multi-Sampling Convolutional Neural Network-Based RF Fingerprinting Approach for Low-Power Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multi-sampling-convolutional-neural-network-based-rf-fingerprinting-approach-for-low-power-devices
MLA “A Multi-Sampling Convolutional Neural Network-Based RF Fingerprinting Approach for Low-Power Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multi-sampling-convolutional-neural-network-based-rf-fingerprinting-approach-for-low-power-devices.
BibTeX @misc{4ortxyz_a-multi-sampling-convolutional-neural-network-based-rf-fingerprinting-approach-for-low-power-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Multi-Sampling Convolutional Neural Network-Based RF Fingerprinting Approach for Low-Power Devices}}, year = {2026}, url = {https://4ort.xyz/entity/a-multi-sampling-convolutional-neural-network-based-rf-fingerprinting-approach-for-low-power-devices}, note = {Accessed: 2026-05-24}}
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