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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 …
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans
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 …
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …
Recent advances in Brillouin optical time domain reflectometry
In the past two decades Brillouin-based sensors have emerged as a newly-developed
optical fiber sensing technology for distributed temperature and strain measurements …
optical fiber sensing technology for distributed temperature and strain measurements …
distributed time-domain sensors based on Brillouin scattering and FWM enhanced SBS for temperature, strain and acoustic wave detection
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 …
the changes of the temperature and strain. The linear dependence of the temperature and …
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 neural networks assisted BOTDA for simultaneous temperature and strain measurement with enhanced accuracy
Simultaneous temperature and strain measurement with enhanced accuracy by using Deep
Neural Networks (DNN) assisted Brillouin optical time domain analyzer (BOTDA) has been …
Neural Networks (DNN) assisted Brillouin optical time domain analyzer (BOTDA) has been …
Unsupervised constrained neural network modeling of boundary value corneal model for eye surgery
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 …
second order corneal shape model (CSM) using feed-forward artificial neural networks …
Distributed Brillouin frequency shift extraction via a convolutional neural network
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 …
according to the local Brillouin frequency shift (BFS), which is usually calculated by the …
Brillouin optical time-domain analyzer assisted by support vector machine for ultrafast temperature extraction
Brillouin optical time-domain analyzer (BOTDA) assisted by support vector machine (SVM)
for ultrafast temperature extraction is proposed and experimentally demonstrated. The …
for ultrafast temperature extraction is proposed and experimentally demonstrated. The …
[PDF][PDF] 分布式光纤传感技术研究和应用的现状及未来
张旭苹, 张益昕, 王亮, 余贶琭, 刘波, 尹国路… - Acta Optica …, 2024 - researching.cn
摘要我国大型基础设施的建设规模已多年位居世界之首, 分布式光纤传感技术(DOFS)
作为大型基础设施健康状态实时监测最有潜力的技术, **年来得到了迅速发展. 针对DOFS …
作为大型基础设施健康状态实时监测最有潜力的技术, **年来得到了迅速发展. 针对DOFS …