Dual-Parameter Demodulation of FBG-FPI Cascade Sensors via Sparse Samples: A Deep Learning-Based Perspective-Reference-Cited by-同舟云学术

Dual-Parameter Demodulation of FBG-FPI Cascade Sensors via Sparse Samples: A Deep Learning-Based Perspective

Published:2023-10-01 Issue:19 Volume:23 Page:23903-23915
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Xu Haoyang¹^ORCID,Chen Shengchao²^ORCID,Ren Sufen¹^ORCID,Hou Xuan¹,Wang Guanjun¹^ORCID,Shen Chong¹

Affiliation:

1. State Key Laboratory of Marine Resource Utilization in South China Sea and the School of Information and Communication Engineering, Hainan University, Haikou, China

2. Australian AI Institute, School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hainan Province

Open Project Program of Wuhan National Laboratory for Optoelectronics

Scientific Research Starting Foundation of Hainan University

Innovative Research Topics for Postgraduate Students in Hainan Province in 2022

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10269339/10234218.pdf?arnumber=10234218

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