Using Machine Learning Technique, Tracing the Actual Location of Faults in Underground Optical Networks
Author:
Affiliation:
1. Sarabhai Institute of Science and Technology, Vellanad,Dept. of Electronics and Communication Engineering,Thiruvananthapuram,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10334953/10334932/10335071.pdf?arnumber=10335071
Reference20 articles.
1. Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks
2. Predicting the actual location of faults in underground optical networks using linear regression
3. Design of Low-Margin Optical Networks
4. Learning From the Optical Spectrum: Failure Detection and Identification
5. The First 0.14-dB/km Loss Optical Fiber and its Impact on Submarine Transmission
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