Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Efficient Classification of Polarization Events Based on Field Measurements

Not Accessible

Your library or personal account may give you access


We present rare-event classification of polarization transients based on field measurements with data augmentation combined with robot-generated fiber-disturbance data. We compare machine learning methods for accuracy and required number of training sample traces.

© 2020 The Author(s)

PDF Article
More Like This
Performance Prediction of Established Lightpaths Using Machine Learning and Field Data

Christine Tremblay
C1F_2 Conference on Lasers and Electro-Optics/Pacific Rim (CLEOPR) 2020

Real-time event classification based on Extreme Gradient Boosting in distributed optical fiber sensing

Liangliang Huang, Minjie Zhang, Qianwu Zhang, and Yingchun Li
T2A.2 Asia Communications and Photonics Conference (ACPC) 2019

Mobile Oral Cancer Image Classification based on Efficient Deep Learning for Low-resource Settings

Bofan Song, Sumsum Sunny, Shaobai Li, G Keerthi, Sanjana Patrick, Nirza Mukhia, Shubha Gurudath, Subhashini Raghavan, Pramila Mendonca, Tsusennaro, Shirley T Leivon, Trupti Kolur, Vivek Shetty, Vidya Bushan R, Rohan Ramesh, Vijay Pillai, Alben Sigamani, Amritha Suresh, moni Abraham Kuriakose, Praveen Birur, and Rongguang Liang
JW6A.8 Frontiers in Optics (FiO) 2020


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Select as filters

Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved