AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices

Research article (IEEE Internet of Things Journal, 2022) · cited 155× · AI/ML
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AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices

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AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/ahar-adaptive-cnn-for-energy-efficient-human-activity-recognition-in-low-power-edge-devices
MLA “AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ahar-adaptive-cnn-for-energy-efficient-human-activity-recognition-in-low-power-edge-devices.
BibTeX @misc{4ortxyz_ahar-adaptive-cnn-for-energy-efficient-human-activity-recognition-in-low-power-edge-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices}}, year = {2026}, url = {https://4ort.xyz/entity/ahar-adaptive-cnn-for-energy-efficient-human-activity-recognition-in-low-power-edge-devices}, note = {Accessed: 2026-05-24}}
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