Researchers within the SEAWave project have created a generic model for the estimation of occupational exposure [1],
based on a limited set of relevant input parameters, which can be accessed by non-technical persons.
This model is applicable for indoor private 5G and Wi-Fi networks operating at frequencies above 2 GHz.
For researchers: the simulation datasets used for creating this neural-network-based model are available via ZENODO.
E95: — V/m 95 percent of the exposure values in the workplace area are estimated to be lower than this value
Emedian: — V/m half of the exposure values in the workplace area are estimated to be lower than this value
[1] D. Plets, C. Apostolidis, S. Wang, B. Valič, L. Martens, T. Samaras, P. Gajšek,
"Generic neural network model for estimating exposure levels in industrial environments",
Journal of Radiological Protection, submitted