A 216 μW, 87% Accurate Cow Behavior Classifying Decision Tree on FPGA with Interpolated Arctan2-Reference-Cited by-同舟云学术

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A 216 μW, 87% Accurate Cow Behavior Classifying Decision Tree on FPGA with Interpolated Arctan2

Published:2021-05 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Bartels Jim,Tokgoz Korkut Kaan,Fukawa Masamoto,Otsubo Shohei,Chao Li,Rachi Ikumi,Takeda Kenichi,Ito Hiroyuki

Funder

Center of Innovation Program

Japan Science and Technology Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9401028/9401051/09401342.pdf?arnumber=9401342

Cited by 4 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. Fast and Energy-Efficient Oblique Decision Tree Implementation with Potential Error Detection;Electronics;2024-01-18

2. An Integer-Only Resource-Minimized RNN on FPGA for Low-Frequency Sensors in Edge-AI;IEEE Sensors Journal;2023-08-01

3. FPGA Technologies for Smart and Sustainable Agriculture: A Comprehensive Overview;2023 12th Mediterranean Conference on Embedded Computing (MECO);2023-06-06

4. TinyCowNet: Memory- and Power-Minimized RNNs Implementable on Tiny Edge Devices for Lifelong Cow Behavior Distribution Estimation;IEEE Access;2022

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