Predicting failures in fiber optic information transmission systems with support of machine learning

Predicting failures in fiber optic information transmission systems with support of machine learning

The use of machine learning methods in fiber-optic information transmission systems (FOITS) is considered. The article discusses the basic operating principles of fiber optic systems and the problems they face, such as noise, nonlinear effects, and degradation of transmitted information. Describes...

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Bibliographic Details
Main Authors:	Nafisa Juraeva, Dilmurod Davronbekov, Ulugbek Turdiev
Format:	Article
Language:	Spanish
Published:	Universidad Nacional de San Martín 2025-07-01
Series:	Revista Científica de Sistemas e Informática
Subjects:	extra tree regressor failure prediction machine learning random forest regression algorithms support vector regression
Online Access:	https://revistas.unsm.edu.pe/index.php/rcsi/article/view/907
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