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 …

Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …

In the past two decades Brillouin-based sensors have emerged as a newly-developed
optical fiber sensing technology for distributed temperature and strain measurements …

Distributed time-domain Brillouin scattering fiber sensors have been widely used to measure
the changes of the temperature and strain. The linear dependence of the temperature and …

Simultaneous temperature and strain measurement with enhanced accuracy by using Deep
Neural Networks (DNN) assisted Brillouin optical time domain analyzer (BOTDA) has been …

In this article, a numerical computing technique is developed for solving the nonlinear
second order corneal shape model (CSM) using feed-forward artificial neural networks …

Distributed optical fiber Brillouin sensors detect the temperature and strain along a fiber
according to the local Brillouin frequency shift (BFS), which is usually calculated by the …

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

Brillouin optical time-domain analyzer (BOTDA) assisted by support vector machine (SVM)
for ultrafast temperature extraction is proposed and experimentally demonstrated. The …

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 …