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Martin Bouda
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2020 – today
- 2021
- [j2]Martin Bouda
, Gautam Krishna, Joe Krystofik, Shoichiro Oda, Paparao Palacharla:
Towards vendor-agnostic real-time optical network design with extended Kalman state estimation and recurrent neural network machine learning [Invited]. JOCN 13(4): B21-B34 (2021)
2010 – 2019
- 2019
- [c6]Martin Bouda, Shoichiro Oda, Yuichi Akiyama, Denis Paunovic, Takeshi Hoshida, Paparao Palacharla, Tadashi Ikeuchi:
Demonstration of Continuous Improvement in Open Optical Network Design by QoT Prediction using Machine Learning. OFC 2019: 1-3 - 2018
- [j1]Martin Bouda
, Shoichiro Oda, Olga Vassilieva, Masatake Miyabe, Setsuo Yoshida, Toru Katagiri, Yasuhiko Aoki, Takeshi Hoshida
, Tadashi Ikeuchi:
Accurate Prediction of Quality of Transmission Based on a Dynamically Configurable Optical Impairment Model. JOCN 10(1): A102-A109 (2018) - [c5]Shoichiro Oda, Martin Bouda, Yi Ge, Setsuo Yoshida, Takahito Tanimura, Yuichi Akiyama, Yoshio Hirose, Zhenning Tao
, Tadashi Ikeuchi, Takeshi Hoshida
:
Innovative Optical Networking by Optical Performance Monitoring and Learning Process. ECOC 2018: 1-3 - [c4]Inwoong Kim, Xi Wang, Martin Bouda, Olga Vassilieva, Qiong Zhang, Paparao Palacharla, Tadashi Ikeuchi:
Q-availability based Virtual Optical Network Provisioning. OFC 2018: 1-3 - 2017
- [c3]Shoichiro Oda, Martin Bouda, Olga Vassilieva, Yoshio Hirose, Takeshi Hoshida
, Tadashi Ikeuchi:
Network Capacity Improvement by Quality of Transmission Estimator with Learning Process. ECOC 2017: 1-3 - [c2]Martin Bouda, Shoichiro Oda, Olga Vassilieva, Masatake Miyabe, Setsuo Yoshida, Toru Katagiri, Yasuhiko Aoki, Takeshi Hoshida, Tadashi Ikeuchi:
Accurate prediction of quality of transmission with dynamically configurable optical impairment model. OFC 2017: 1-3 - 2014
- [c1]Martin Bouda, Xi Wang, Paparao Palacharla, Motoyoshi Sekiya:
Reachability matrix and directed search-based optical path computation for large optical networks. ECOC 2014: 1-3
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