Resource and Energy Efficient Implementation of ECG Classifier Using Binarized CNN for Edge AI Devices

Research article (2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021) · cited 19× · AI/ML
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Resource and Energy Efficient Implementation of ECG Classifier Using Binarized CNN for Edge AI Devices

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Resource and Energy Efficient Implementation of ECG Classifier Using Binarized CNN for Edge AI Devices is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Resource and Energy Efficient Implementation of ECG Classifier Using Binarized CNN for Edge AI Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/resource-and-energy-efficient-implementation-of-ecg-classifier-using-binarized-cnn-for-edge-ai-devices
MLA “Resource and Energy Efficient Implementation of ECG Classifier Using Binarized CNN for Edge AI Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resource-and-energy-efficient-implementation-of-ecg-classifier-using-binarized-cnn-for-edge-ai-devices.
BibTeX @misc{4ortxyz_resource-and-energy-efficient-implementation-of-ecg-classifier-using-binarized-cnn-for-edge-ai-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Resource and Energy Efficient Implementation of ECG Classifier Using Binarized CNN for Edge AI Devices}}, year = {2026}, url = {https://4ort.xyz/entity/resource-and-energy-efficient-implementation-of-ecg-classifier-using-binarized-cnn-for-edge-ai-devices}, note = {Accessed: 2026-05-24}}
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