Machine Learning Enabled Multimode Fiber Specklegram Sensors: A Review
Multimode fiber (MMF) specklegram sensors have recently drawn significant attention due to
the incorporation of machine learning (ML) algorithms in detecting different sensing …
the incorporation of machine learning (ML) algorithms in detecting different sensing …
Deep learning based optical curvature sensor through specklegram detection of multimode fiber
An optical fiber curvature sensor based on the detection of specklegrams from the facet of
multimode fiber (MMF) is realized by using a deep learning regression model. Since the …
multimode fiber (MMF) is realized by using a deep learning regression model. Since the …
Sensing in the presence of strong noise by deep learning of dynamic multimode fiber interference
A new approach to optical fiber sensing is proposed and demonstrated that allows for
specific measurement even in the presence of strong noise from undesired environmental …
specific measurement even in the presence of strong noise from undesired environmental …
Advances in Optical Fiber Speckle Sensing: A Comprehensive Review
Optical fiber sensors have been studied, developed, and already used in the industry for
more than 50 years due to their multiplexing capabilities, lightweight design, compact form …
more than 50 years due to their multiplexing capabilities, lightweight design, compact form …
Machine learning for sensing with a multimode exposed core fiber specklegram sensor
Fiber specklegram sensors (FSSs) traditionally use statistical methods to analyze
specklegrams obtained from fibers for sensing purposes, but can suffer from limitations such …
specklegrams obtained from fibers for sensing purposes, but can suffer from limitations such …
A Machine Learning Specklegram Wavemeter (MaSWave) Based on a Short Section of Multimode Fiber as the Dispersive Element
Wavemeters are very important for precise and accurate measurements of both pulses and
continuous-wave optical sources. Conventional wavemeters employ gratings, prisms, and …
continuous-wave optical sources. Conventional wavemeters employ gratings, prisms, and …
Feature extraction enabled deep learning from specklegram for optical fiber curvature sensing
A novel approach for multimode fiber (MMF) curvature sensing based on the texture feature
of the specklegram from the fiber facet is proposed, developed and demonstrated. Different …
of the specklegram from the fiber facet is proposed, developed and demonstrated. Different …
Displacement sensor based on a large-core hollow fiber and specklegram analysis
The research enterprise towards achieving high-performance hollow-core photonic crystal
fibers has led to impressive advancements in the latest years. Indeed, using this family of …
fibers has led to impressive advancements in the latest years. Indeed, using this family of …
Spatially modulated fiber speckle for high-sensitivity refractive index sensing
P Guo, H Liu, Z Zhou, J Hu, Y Wang, X Peng, X Yuan… - Sensors, 2023 - mdpi.com
A fiber speckle sensor (FSS) based on a tapered multimode fiber (TMMF) has been
developed to measure liquid analyte refractive index (RI) in this work. By the lateral and …
developed to measure liquid analyte refractive index (RI) in this work. By the lateral and …
Fiber specklegram torsion sensor based on residual network
G Li, Y Liu, Q Qin, L Pang, W Ren, J Wei… - Optical Fiber …, 2023 - Elsevier
A novel fiber specklegram torsion sensor based on multimode fiber (MMF) is proposed and
experimentally demonstrated in this paper. The Residual Network (ResNet) is used to …
experimentally demonstrated in this paper. The Residual Network (ResNet) is used to …