Machine Learning Model for Classifying Free Space Optics Channel Impairments
Author:
Affiliation:
1. Landmark University,Electrical and Information Engineering Department,Omu-Aran,Nigeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10051167/10051171/10051228.pdf?arnumber=10051228
Reference21 articles.
1. An overview of ML-based applications for next generation optical networks
2. Application of machine learning to microseismic event detection in distributed acoustic sensing data
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4. An Overview on Application of Machine Learning Techniques in Optical Networks
5. Cognitive Multi-Point Free Space Optical Communication: Real-Time Users Discovery Using Unsupervised Machine Learning
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