Use of Machine Learning for the Estimation of Down‐ and Up‐Link Field Exposure in Multi‐Source Indoor WiFi Scenarios-Reference-Cited by-同舟云学术

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

Published:2021-07-23 Issue:7 Volume:42 Page:550-561
ISSN:0197-8462
Container-title:Bioelectromagnetics
language:en
Short-container-title:Bioelectromagnetics

Author:

Tognola Gabriella¹^ORCID,Plets David²,Chiaramello Emma¹^ORCID,Gallucci Silvia¹,Bonato Marta¹³,Fiocchi Serena¹^ORCID,Parazzini Marta¹,Martens Luc²,Joseph Wout²,Ravazzani Paolo¹

Affiliation:

1. National Research Council, Institute of Electronics Computer and Telecommunication Engineering (CNR IEIIT) Milan Italy

2. Department of Information Technology Gent University/IMEC Gent Belgium

3. Department of Electronics, Information and Bioengineering (DEIB) Politecnico di Milano Milan Italy

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Physiology,General Medicine,Biophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bem.22361

Reference24 articles.

1. Radio Frequency Electromagnetic Fields Exposure Assessment in Indoor Environments: A Review

2. Stochastic Dosimetry for Radio-Frequency Exposure Assessment in Realistic Scenarios

3. Children exposure to femtocell in indoor environments estimated by sparse low-rank tensor approximations

4. Stochastic Dosimetry Based on Low Rank Tensor Approximations for the Assessment of Children Exposure to WLAN Source

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