TinyCowNet: Memory- and Power-Minimized RNNs Implementable on Tiny Edge Devices for Lifelong Cow Behavior Distribution Estimation-Reference-Cited by-同舟云学术

TinyCowNet: Memory- and Power-Minimized RNNs Implementable on Tiny Edge Devices for Lifelong Cow Behavior Distribution Estimation

Published:2022 Issue: Volume:10 Page:32706-32727
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bartels Jim¹^ORCID,Tokgoz Korkut Kaan¹^ORCID,A Sihan¹,Fukawa Masamoto¹,Otsubo Shohei¹,Li Chao¹^ORCID,Rachi Ikumi¹,Takeda Ken-Ichi²,Minati Ludovico¹,Ito Hiroyuki¹^ORCID

Affiliation:

1. Nano Sensing Unit, Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan

2. Institute of Agriculture, Academic Assembly, Shinshu University, Matsumoto, Nagano, Japan

Funder

Center Of Innovation (COI) Program of the Japan Science and Technology Agency

Research Program on the Development of Innovative Technology through Bio-Oriented Research of the National Agriculture and Food Research Organization (NARO), Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09726221.pdf?arnumber=9726221

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