Early Fault Detection in a Real Scenario of Hybrid Fiber–Coaxial Networks Using Machine Learning: An Approach Based on Decision Trees and Random Forests

Cable service providers face significant challenges in managing Hybrid Fiber–Coaxial (HFC) networks due to the growing demand for high-speed services. Ensuring high service availability is critical to preventing customer attrition. This study employs machine learning techniques, specifically Decisio...

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Principais autores:	Christian Szcerba, Enrique Dávalos, Ariel Leiva, Juan Pinto-Ríos
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-09-01
Series:	Applied Sciences
Assuntos:	Data Over Cable Service Interface Specification Hybrid Fiber–Coaxial decision tree random forest machine learning
Acceso en liña:	https://www.mdpi.com/2076-3417/15/19/10442
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