This paper presents reported machine learning approaches in the field of Brillouin
distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems …

We report, to our knowledge for the first time, on distributed relative humidity sensing in silica
polyimide-coated optical fibers using Brillouin optical frequency domain analysis (BOFDA) …

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 …

In this paper, we studied the possibility of increasing the Brillouin frequency shift (BFS)
detection accuracy in distributed fibre-optic sensors by the separate and joint use of different …

In this paper, we present a collection of machine learning assisted distributed fiber optic
sensors (DFOS) for applications in the field of infrastructure monitoring. We employ …

Determining the leakage location in an underground gas pipeline is a serious technical
problem. Distributed fiber optic testing technology based on Brillouin optical frequency …

An improved method for extracting the Brillouin frequency shift in postprocessing of a given
Brillouin gain spectrum is presented. Modification of the method made it possible to expand …

We propose a dynamic polarization-insensitive Brillouin optical time domain analyzer (D/PI-
BOTDA) with orthogonal frequency division multiplexing (OFDM) based on intensity …

Brillouin Optical Frequency Domain Analysis (BOFDA) is a powerful and well-established
method for static distributed sensing of temperature and strain. Recently, we demonstrated a …

A Fast peak searching method for Brillouin gain spectrum (BGS) using positive-slope
inflection point is proposed. In this method, the positive-slope inflection point of Brillouin gain …