Uiara Celine de Moura

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Darko ZibarProfessor, Group leader Machine Learning in Photonic Systems,Technical University of DenmarkEmail yang diverifikasi di fotonik.dtu.dk
Juliano Rodrigues Fernandes de Olive...IDEA Electronic SystemsEmail yang diverifikasi di idea-ip.com
Andrea CarenaPolitecnico di TorinoEmail yang diverifikasi di polito.it
Miquel Garrich AlabarceUniversidad Politécnica de CartagenaEmail yang diverifikasi di ieee.org
Amilcar Careli CesarUniversidade de São PauloEmail yang diverifikasi di sc.usp.br
Alexandre Passos FreitasResearcher, CPqD FoundationEmail yang diverifikasi di cpqd.com.br
Luis Henrique Hecker de CarvalhoPhotonics Director, IDEA Electronic SystemsEmail yang diverifikasi di idea-ip.com
Giovanni Beninca de FariasOptical scientist at MetaEmail yang diverifikasi di fb.com
Joaquim Ferreira Martins FilhoProfessor of Electrical Engineering, Federal University of Pernambuco, BrazilEmail yang diverifikasi di ufpe.br
Murilo Araujo RomeroFull Professor, University of São PauloEmail yang diverifikasi di usp.br
Erick de Andrade BarbozaDoctor in Electrical Engineering, Federal University of AlagoasEmail yang diverifikasi di ic.ufal.br
Carmelo Jose Albanez Bastos FilhoAssociate Professor, University of PernambucoEmail yang diverifikasi di poli.br
Yesica Raquel Rumaldo BustamanteSr Systems Design Engineer InfineraEmail yang diverifikasi di infinera.com
Evandro ConfortiProfessor of Electrical Engineering, University of Campinas - UNICAMPEmail yang diverifikasi di ieee.org
Eduardo Cavalcanti MagalhãesPost-doctoral Researcher at TU/eEmail yang diverifikasi di tue.nl
Diogo de Azevedo MottaElectronic Engineer, Idea! Sistemas EletrônicosEmail yang diverifikasi di idea-ip.com
Jacklyn D. ReisLumentum Holdings IncEmail yang diverifikasi di lumentum.com
Neil Guerrero GonzalezUniversidad Nacional de ColombiaEmail yang diverifikasi di unal.edu.co
João JanuárioPADTECEmail yang diverifikasi di padtec.com.br

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Uiara Celine de Moura

NKT Photonics

Email yang diverifikasi di nktphotonics.com

Optical networks optical amplifiers machine learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Inverse system design using machine learning: the Raman amplifier case D Zibar, AMR Brusin, UC de Moura, F Da Ros, V Curri, A Carena Journal of Lightwave Technology 38 (4), 736-753, 2020	85	2020
Multi–band programmable gain Raman amplifier UC De Moura, MA Iqbal, M Kamalian, L Krzczanowicz, F Da Ros, ... Journal of Lightwave Technology 39 (2), 429-438, 2020	52	2020
Demonstration of EDFA cognitive gain control via GMPLS for mixed modulation formats in heterogeneous optical networks J Oliveira, A Caballero, E Magalhães, U Moura, R Borkowski, G Curiel, ... Optical Fiber Communication Conference, OW1H. 2, 2013	46	2013
EDFA adaptive gain control effect analysis over an amplifier cascade in a DWDM optical system UC de Moura, JRF Oliveira, JCRF Oliveira, AC César 2013 SBMO/IEEE MTT-S International Microwave & Optoelectronics Conference …, 2013	43	2013
Cognitive methodology for optical amplifier gain adjustment in dynamic DWDM networks U Moura, M Garrich, H Carvalho, M Svolenski, A Andrade, AC Cesar, ... Journal of Lightwave Technology 34 (8), 1971-1979, 2016	34	2016
Self-adaptive erbium-doped fiber amplifiers using machine learning EA Barboza, CJA Bastos-Filho, JF Martins-Filho, UC de Moura, ... 2013 SBMO/IEEE MTT-S International Microwave & Optoelectronics Conference …, 2013	30	2013
Introducing load aware neural networks for accurate predictions of Raman amplifiers AMR Brusin, UC de Moura, V Curri, D Zibar, A Carena Journal of Lightwave Technology 38 (23), 6481-6491, 2020	28	2020
Experimental characterization of Raman amplifier optimization through inverse system design UC de Moura, F Da Ros, AMR Brusin, A Carena, D Zibar Journal of Lightwave Technology 39 (4), 1162-1170, 2021	27	2021
Machine learning-based EDFA gain model generalizable to multiple physical devices F Da Ros, UC De Moura, MP Yankov 2020 European Conference on Optical Communications (ECOC), 1-4, 2020	23	2020
Local and global approaches for the adaptive control of a cascade of amplifiers EA Barboza, CJA Bastos-Filho, JFM Filho, MJ da Silva, LD Coelho, ... Photonic Network Communications 33, 194-207, 2017	22	2017
SDN-enabled EDFA gain adjustment cognitive methodology for dynamic optical networks U Moura, M Garrich, H Carvalho, M Svolenski, A Andrade, F Margarido, ... 2015 European Conference on Optical Communication (ECOC), 1-3, 2015	22	2015
Estimating EDFA output power with an efficient numerical modeling framework Y Fei, A Fumagalli, M Garrich, B Sarti, U Moura, NG González, J Oliveira 2015 IEEE international conference on communications (ICC), 5222-5227, 2015	22	2015
Power evolution modeling and optimization of fiber optic communication systems with EDFA repeaters MP Yankov, UC De Moura, F Da Ros Journal of Lightwave Technology 39 (10), 3154-3161, 2021	18	2021
Mapping EDFA noise figure and gain flatness over the power mask using neural networks CJA Bastos-Filho, EA Barboza, JF Martins-Filho, UC de Moura, ... Journal of Microwaves, Optoelectronics and Electromagnetic Applications …, 2013	17	2013
Fiber-agnostic machine learning-based Raman amplifier models UC de Moura, D Zibar, AMR Brusin, A Carena, F Da Ros Journal of Lightwave Technology 41 (1), 83-95, 2022	16	2022
Hybrid EDFA/Raman Amplification Topology for Repeaterless 4.48 Tb/s (40112 Gb/s DP-DQPSK) Transmission Over 302 Km of G.652 Standard Single Mode Fiber JRF de Oliveira, UC de Moura, GER de Paiva, AP de Freitas, ... Journal of Lightwave Technology 31 (16), 3099-3108, 2013	16	2013
Caracterizador automatizado de máscara de potência de amplificadores ópticos para redes wdm reconfiguráveis UC Moura, JRF Oliveira, RL Amgarten, GER Paiva, J Oliveira XXX Brazilian symposium on telecommunication, Brasilia, Brazil, 2012	16	2012
Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning UC de Moura, AMR Brusin, A Carena, D Zibar, F Da Ros Optics Letters 46 (5), 1157-1160, 2021	15	2021
Flexible Raman amplifier optimization based on machine learning-aided physical stimulated Raman scattering model MP Yankov, F Da Ros, UC de Moura, A Carena, D Zibar Journal of Lightwave Technology 41 (2), 508-514, 2022	14	2022
Flexible optical transmission systems for future networking JD Reis, M Garrich, DM Pataca, JCM Diniz, VN Rozental, LHH Carvalho, ... 2014 16th International Telecommunications Network Strategy and Planning …, 2014	13	2014

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