Feature Extraction Enabled Deep Learning From Specklegram for Optical Fiber Curvature Sensing
Author:
Affiliation:
1. Key Laboratory of All Optical Network and Advanced Telecommunication Network, Ministry of Education, Beijing Jiaotong University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9857501/09827916.pdf?arnumber=9827916
Reference38 articles.
1. Temperature-insensitive curvature sensor based on Bragg gratings written in strongly coupled multicore fiber
2. Precision non-contact displacement sensor based on the near-field characteristics of fiber specklegrams
3. Machine Learning for Turning Optical Fiber Specklegram Sensor into a Spatially-Resolved Sensing System. Proof of Concept
4. Deep Learning for Estimating Deflection Direction of a Multimode Fiber From Specklegram
5. A LBP-based Face Recognition Method with Hamming Distance Constraint
Cited by 16 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. Deep learning and time series signal processing for bending detection in mining environment using optical fiber sensor;Optical Fiber Technology;2024-12
2. Dynamic Multimode Fiber Specklegram Sensor Smart Bed Enabled by Deep Learning;Journal of Lightwave Technology;2024-09-15
3. Fiber-Optic Shape Sensing Using Neural Networks Operating on Multispecklegrams;IEEE Sensors Journal;2024-09-01
4. Machine learning enhanced smart tactile specklegram fiber sensor using spatial mode downsampling;Optics Express;2024-08-16
5. The Small Deformation Assessment of the Integrated Fiber Optic by the Speckle Field Changes Using Siamese Neural Network;2024 22nd International Conference on Optical Communications and Networks (ICOCN);2024-07-26
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3