Predicting the availability of power line communication nodes using semi-supervised learning algorithms

Abstract Power Line Communication (PLC) facilitates the usage of power cables to transmit data. The issue is that sending data to unavailable nodes is time-consuming. Machine Learning has solved this by predicting a node having optimum readings. The more the machine learning models learn, the more a...

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Bibliografiske detaljer

Principais autores:	Kareem Moussa, Khaled Mostafa Elsayed, M. Saeed Darweesh, Abdelmoniem Elbaz, Ahmed Soltan
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2025-05-01
Serier:	Scientific Reports
Fag:	Power Line Communication (PLC) Machine Learning Semi Supervised Learning Self Training Classifier Light Gradient Boosting Machine (LGBM) Support Vector Machine (SVM)
Online adgang:	https://doi.org/10.1038/s41598-025-01064-5
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