Deep Learning-Based Fiber Bending Recognition for Sensor Applications-Reference-Cited by-同舟云学术

Deep Learning-Based Fiber Bending Recognition for Sensor Applications

Published:2023-04-01 Issue:7 Volume:23 Page:6956-6962
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Bender Deniz¹^ORCID,Çakır Uğur²^ORCID,Yüce Emre³^ORCID

Affiliation:

1. Programmable Photonics Group and the Department of Micro and Nanotechnology, Middle East Technical University, Ankara, Türkiye

2. Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Türkiye

3. Programmable Photonics Group and the Department of Physics, Middle East Technical University, Ankara, Türkiye

Funder

Türkiye Bilimsel ve Teknolojik Ara¸stırma Kurumu [Scientific and Technological Research Council of Türkiye

Türkiye Bilimler Akademisi-Üstün Ba¸sarılı Genç Bilim ˙Insanı Ödülleri Programı [Turkish Academy of Sciences-Outstanding Young Scientist Awards Program (TÜBA-GEB˙IP)]

Council of Higher Education (Ph.D.) Funding Program Yüksek Ö˘gretim Kurumu [Council of Higher Education (YÖK)]

Scientific and Technological Research Council of Türkiye (Ph.D.) Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10089784/10057214.pdf?arnumber=10057214

Reference40 articles.

1. Bend translation in multimode fiber imaging

2. Machine Learning for Turning Optical Fiber Specklegram Sensor into a Spatially-Resolved Sensing System. Proof of Concept

3. Dynamic bending compensation while focusing through a multimode fiber

4. Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks;te?in;APL Photon,2020

5. Review of optical fiber bending/curvature sensor

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