Shiraki, Ryuta
14  Ergebnisse:
Personensuche X
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1

Demodulation Framework Based on Machine Learning for Unrepe..:

SHIRAKI, Ryuta ; MORI, Yojiro ; HASEGAWA, Hiroshi
IEICE Transactions on Communications.  E107.B (2024)  1 - p. 39-48 , 2024
 
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2

Analytical Model for Assessing Unavailability in Middleboxe..:

, In: 2024 20th International Conference on the Design of Reliable Communication Networks (DRCN),
 
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4

Transceiver-Impairment Mitigation Enabled by Adaptive Symbo..:

, In: 2023 International Conference on Photonics in Switching and Computing (PSC),
Ochiai, Takuro ; Higuchi, Reiji ; Kuno, Takuma... - p. 1-3 , 2023
 
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5

Modulation and Demodulation Method Robust Against Laser Pha..:

, In: 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC),
 
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6

Constellation-Shaped 64QAM Robust against Phase Noise in In..:

, In: 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC),
Sakano, Jun ; Shiraki, Ryuta ; Mori, Yojiro. - p. 1-4 , 2022
 
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7

Design and control of highly spectrally efficient photonic ..:

Shiraki, Ryuta ; Mori, Yojiro ; Hasegawa, Hiroshi..
Journal of Optical Communications and Networking.  13 (2021)  11 - p. 233 , 2021
 
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8

Performance Evaluation of Dynamic Fiber-Granular Routing Ne..:

, In: 2021 Opto-Electronics and Communications Conference (OECC),
 
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11

TB-2 Patient-derived meningioma organoid model demonstrates..:

Yamazaki, Shintaro ; Ohka, Fumiharu ; Hirano, Masaki...
Neuro-Oncology Advances.  3 (2021)  Supplement_6 - p. vi5-vi6 , 2021
 
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