Use of Machine Learning for the Estimation of Down‐ and Up‐Link Field Exposure in Multi‐Source Indoor WiFi Scenarios

A novel Machine Learning (ML) method based on Neural Networks (NN) is proposed to assess radio‐frequency (RF) exposure generated by WiFi sources in indoor scenarios. The aim was to build an NN capable of addressing the complexity and variability of real‐life exposure setups, including the effects of...

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Detalles Bibliográficos
Autores principales: Tognola, Gabriella, Plets, David, Chiaramello, Emma, Gallucci, Silvia, Bonato, Marta, Fiocchi, Serena, Parazzini, Marta, Martens, Luc, Joseph, Wout, Ravazzani, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519090/
https://www.ncbi.nlm.nih.gov/pubmed/34298586
http://dx.doi.org/10.1002/bem.22361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519090/
https://www.ncbi.nlm.nih.gov/pubmed/34298586
http://dx.doi.org/10.1002/bem.22361

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