A. M. Rosa Brusin

6 ta ish

Туринский политехнический университет

1. Introducing Load Aware Neural Networks for Accurate Predictions of Raman Amplifiers

   A. M. Rosa Brusin, Uiara Celine de Moura, Vittorio Curri +2

   MaqolaOAOchiq kirish20203 iqtibos

   ABIABI:AkademIndex/2026.other.169242

2. Inverse System Design Using Machine Learning: The Raman Amplifier Case

   Darko Zibar, A. M. Rosa Brusin, Uiara Celine de Moura +3

   MaqolaOAOchiq kirish20192 iqtibos

   ABIABI:AkademIndex/2026.other.169230

3. Multi-band programmable gain Raman amplifier

   Uiara Celine de Moura, Md Asif Iqbal, Morteza Kamalian-Kopae +7

   MaqolaOAOchiq kirishOptical Network TechnologiesAston Publications Explorer (Aston University)20201 iqtibos

   ABIABI:AkademIndex/2020.article.000126

4. An ultra-fast method for gain and noise prediction of Raman amplifiers

   A. M. Rosa Brusin, Vittorio Curri, Darko Zibar +1

   PreprintOAOchiq kirishSpectroscopy Techniques in Biomedical and Chemical Research20190 iqtibos

   ABIABI:AkademIndex/2019.preprint.000003

5. Machine Learning for Raman Amplifier Design

   Uiara Celine de Moura, Francesco Da Ros, A. M. Rosa Brusin +2

   MaqolaSpectroscopy Techniques in Biomedical and Chemical Research20200 iqtibos

   ABIABI:AkademIndex/2020.article.004099

6. Experimental characterization of Raman amplifier optimization through inverse system design

   Uiara Celine de Moura, Francesco Da Ros, A. M. Rosa Brusin +2

   MaqolaOAOchiq kirishOptical Network TechnologiesTechnical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)20210 iqtibos

   ABIABI:AkademIndex/2021.article.000198