Recent advances in machine learning for fiber optic sensor applications
Over the last three decades, fiber optic sensors (FOS) have gained a lot of attention for their
wide range of monitoring applications across many industries, including aerospace …
wide range of monitoring applications across many industries, including aerospace …
Machine learning approaches in Brillouin distributed fiber optic sensors
C Karapanagiotis, K Krebber - Sensors, 2023 - mdpi.com
This paper presents reported machine learning approaches in the field of Brillouin
distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems …
distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems …
Deep learning assisted microwave photonic dual-parameter sensing
The combination of optical microresonators and the emerging microwave photonic (MWP)
sensing has recently drawn great attention, whereas its multi-parameter sensing capability …
sensing has recently drawn great attention, whereas its multi-parameter sensing capability …
Magnon-induced chaos in an optical -symmetric resonator
Optomagnonics supports optical modes with high-quality optical factors and strong photon-
magnon interaction on the scale of micrometers. These novel features provide an effective …
magnon interaction on the scale of micrometers. These novel features provide an effective …
Machine learning assisted BOFDA for simultaneous temperature and strain sensing in a standard optical fiber
We report, to our knowledge for the first time on simultaneous distributed temperature and
strain sensing in a standard telecom optical fiber using a machine learning assisted Brillouin …
strain sensing in a standard telecom optical fiber using a machine learning assisted Brillouin …
Unveiling Nonsecular Collisional Dissipation of Molecular Alignment
We conducted a joint theoretical and experimental study to investigate the collisional
dissipation of molecular alignment. By comparing experimental measurements to the …
dissipation of molecular alignment. By comparing experimental measurements to the …
Machine learning-assisted high-accuracy and large dynamic range thermometer in high-Q microbubble resonators
Whispering gallery mode (WGM) resonators provide an important platform for fine
measurement thanks to their small size, high sensitivity, and fast response time …
measurement thanks to their small size, high sensitivity, and fast response time …
Ellipticity control of high-order harmonic generation with nearly orthogonal two-color laser fields
Elliptically polarized high-order harmonics opens a path toward the study of ultrafast
dynamics in circular dichroism of magnetic materials, chiral molecules, and electronic spin …
dynamics in circular dichroism of magnetic materials, chiral molecules, and electronic spin …
Review of specialty fiber based Brillouin optical time domain analysis technology
Specialty fibers have introduced new functionalities and opportunities in distributed fiber
sensing applications. Particularly, Brillouin optical time domain analysis (BOTDA) systems …
sensing applications. Particularly, Brillouin optical time domain analysis (BOTDA) systems …
Achieving precise multiparameter measurements with distributed optical fiber sensor using wavelength diversity and deep neural networks
The development of advanced distributed optical fiber sensing systems that are capable of
performing accurate and spatially resolved multiparameter measurements is of great interest …
performing accurate and spatially resolved multiparameter measurements is of great interest …