Very Low Power Neural Network FPGA Accelerators for Tag-Less Remote Person Identification Using Capacitive Sensors-Reference-Cited by-同舟云学术

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Very Low Power Neural Network FPGA Accelerators for Tag-Less Remote Person Identification Using Capacitive Sensors

Published:2019 Issue: Volume:7 Page:102217-102231
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Roukhami Marwen,Lazarescu Mihai Teodor^ORCID,Gregoretti Francesco,Lahbib Younes,Mami Abdelkader

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08777074.pdf?arnumber=8777074

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Edge-Computing-Enabled Deep Learning Approach for Low-Light Satellite Image Enhancement;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. Eciton: Very Low-Power Recurrent Neural Network Accelerator for Real-Time Inference at the Edge;ACM Transactions on Reconfigurable Technology and Systems;2023-11

3. Deep Neural Network-based Person Identification using ECG Signals;International Journal of Engineering and Advanced Technology;2023-08-30

4. Scale-out Systolic Arrays;ACM Transactions on Architecture and Code Optimization;2023-03

5. Artificial Intelligence-based Solution for the Prediction for Power Consumption in Electronics and Software Applications;IETE Journal of Research;2023-01-11

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