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

G Tognola, D Plets, E Chiaramello… - …, 2021 - Wiley Online Library
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 …
被引用次数：14 相关文章

[引用][C] Use of Machine Learning for the Estimation of Down-and Up-Link Field Exposure in Multi-Source Indoor WiFi Scenarios

G Tognola, D Plets, E Chiaramello, S Gallucci… - 2021 - imec-publications.be
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 …

Use of machine learning for the estimation of down-and up-link field exposure in multi-source indoor WiFi scenarios

G Tognola, D Plets, E Chiaramello… - …, 2021 - biblio.ugent.be
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 …

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

G Tognola, D Plets, E Chiaramello, S Gallucci… - …, 2021 - europepmc.org
Abstract 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 …

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

G Tognola, D Plets, E Chiaramello… - …, 2021 - pubmed.ncbi.nlm.nih.gov
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 …
[PDF] ugent.be

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

G Tognola, D Plets, E Chiaramello… - …, 2021 - backoffice.biblio.ugent.be
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 …
[HTML] nih.gov

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

G Tognola, D Plets, E Chiaramello, S Gallucci… - …, 2021 - ncbi.nlm.nih.gov
Abstract 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 …
[PDF] archive.org

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

G Tognola, D Plets, E Chiaramello… - …, 2021 - scholar.archive.org
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 …