A comparative study of predicting the availability of power line communication nodes using machine learning

Power Line Communication technology uses power cables to transmit data. Knowing whether a node is working in advance without testing saves time and resources, leading to the proposed model. The model has been trained on three dominant features, which are SNR (Signal to Noise Ratio), RSSI (Received S...

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Detalles Bibliográficos
Autores principales: Moussa, Kareem, Amin, Mennatullah Mahmoud, Darweesh, M. Saeed, Said, Lobna A., Elbaz, Abdelmoniem, Soltan, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403510/
https://www.ncbi.nlm.nih.gov/pubmed/37542096
http://dx.doi.org/10.1038/s41598-023-39120-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403510/
https://www.ncbi.nlm.nih.gov/pubmed/37542096
http://dx.doi.org/10.1038/s41598-023-39120-7

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