Fiber-Optic Shape Sensing Using Neural Networks Operating on Multispecklegrams-Reference-Cited by-同舟云学术

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Fiber-Optic Shape Sensing Using Neural Networks Operating on Multispecklegrams

Published:2024-09-01 Issue:17 Volume:24 Page:27532-27540
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Cao Caroline G. L.¹^ORCID,Javot Bernard²^ORCID,Bhattarai Shreeram³,Bierig Karin³,Oreshnikov Ivan³^ORCID,Volchkov Valentin V.³^ORCID

Affiliation:

1. Department of Industrial and Enterprise Systems Engineering, Department of Biomedical and Translational Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA

2. Max Planck Institute for Intelligent Systems, Stuttgart, Germany

3. Max Planck Institute for Intelligent Systems, Tübingen, Germany

Funder

Grassroots Program at the Max Planck Institute for Intelligent Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10660640/10609324.pdf?arnumber=10609324

Reference32 articles.

1. Recent developments in fibre optic shape sensing

2. Fiber Optic Shape Sensors: A comprehensive review

3. Deep neural networks assisted BOTDA for simultaneous temperature and strain measurement with enhanced accuracy

4. Optical design of endoscopic shape-tracker using quantum dots embedded in fiber bundles

5. Fiber Bragg Grating Sensors toward Structural Health Monitoring in Composite Materials: Challenges and Solutions

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