U. C. de Moura

Generalization Properties of Machine Learning-based Raman Models

A. Carena, F. Da Ros, D. Zibar, 2021, 2021 Optical Fiber Communications Conference and Exhibition (OFC).

Multi–Band Programmable Gain Raman Amplifier

Francesco Da Ros, M. A. Iqbal, U. C. de Moura, 2020, Journal of Lightwave Technology.

Self-adaptive erbium-doped fiber amplifiers using machine learning

Carmelo J. A. Bastos-Filho, Joaquim F. Martins-Filho, Uiara C. de Moura, 2013, 2013 SBMO/IEEE MTT-S International Microwave & Optoelectronics Conference (IMOC).

Hybrid EDFA/Raman Amplification Topology for Repeaterless 4.48 Tb/s (40 x 112 Gb/s DP-QPSK) Transmission Over 302 Km of G.652 Standard Single Mode Fiber

Luis Henrique Hecker de Carvalho, Julio Cesar Rodrigues Fernandes de Oliveira, U. C. de Moura, 2013, Journal of Lightwave Technology.

Inverse System Design Using Machine Learning: The Raman Amplifier Case

Andrea Carena, Vittorio Curri, Francesco Da Ros, 2020, Journal of Lightwave Technology.

Multi–Band Programmable Gain Raman Amplifier

Francesco Da Ros, M. A. Iqbal, U. C. de Moura, 2020, Journal of Lightwave Technology.

Optimization of a Hybrid EDFA-Raman C+L Band Amplifier through Neural-Network Models

H. Furukawa, A. Carena, Francesco Da Ros, 2021, 2021 Optical Fiber Communications Conference and Exhibition (OFC).

Fiber-Agnostic Machine Learning-Based Raman Amplifier Models

Francesco Da Ros, U. C. de Moura, D. Zibar, 2023, Journal of Lightwave Technology.

Impact of nonlinear effects on the performance of 120 Gb/s 64 QAM optical system using adaptive control of cascade of amplifiers

Carmelo J. A. Bastos-Filho, Joaquim F. Martins-Filho, Uiara C. de Moura, 2015, 2015 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC).

Modeling of Optical Matrix Multipliers Using Transposed Convolutional Neural Networks

Francesco Da Ros, U. C. de Moura, D. Zibar, 2022, 2022 IEEE Photonics Conference (IPC).

Introducing Load Aware Neural Networks for Accurate Predictions of Raman Amplifiers

Andrea Carena, Vittorio Curri, Darko Zibar, 2020, Journal of Lightwave Technology.