Infinite Limits of Convolutional Neural Network for Urban Electromagnetic Field Exposure Reconstruction

Infinite Limits of Convolutional Neural Network for Urban Electromagnetic Field Exposure Reconstruction

Electromagnetic field exposure (EMF) has grown to be a critical concern as a consequence of the ongoing installation of fifth-generation cellular networks (5G). The lack of measurements makes it difficult to accurately assess the EMF in a specific urban area, as Spectrum cartography (SC) relies on a...

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Bibliographic Details
Main Authors: Mohammed Mallik, Benjamin Allaert, Esteban Egea-Lopez, Davy P. Gaillot, Joe Wiart, Laurent Clavier
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
5G EMF exposure
kernel regression
neural tangent kernel
infinite width convolutional neural network
semi-supervised learning
Online Access:https://ieeexplore.ieee.org/document/10478001/

Internet

https://ieeexplore.ieee.org/document/10478001/

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