A framework for biosensors assisted by multiphoton effects and machine learning
The ability to interpret information through automatic sensors is one of the most important
pillars of modern technology. In particular, the potential of biosensors has been used to …
pillars of modern technology. In particular, the potential of biosensors has been used to …
Flexible Raman amplifier optimization based on machine learning-aided physical stimulated Raman scattering model
The problem of Raman amplifier optimization is studied. A differentiable interpolation
function is obtained for the Raman gain coefficient using machine learning (ML), which …
function is obtained for the Raman gain coefficient using machine learning (ML), which …
Spectral and spatial power evolution design with machine learning-enabled Raman amplification
We present a machine learning (ML) framework for designing desired signal power profiles
over the spectral and spatial domains in the fiber span. The proposed framework adjusts the …
over the spectral and spatial domains in the fiber span. The proposed framework adjusts the …
Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifiers
We experimentally validate a real-time machine learning framework, capable of controlling
the pump power values of Raman amplifiers to shape the signal power evolution in two …
the pump power values of Raman amplifiers to shape the signal power evolution in two …
Machine learning applied to inverse systems design
In this work, we will give an overview of some of the most recent and successful applications
of machine learning-based inverse system designs in photonic systems. Then, we will focus …
of machine learning-based inverse system designs in photonic systems. Then, we will focus …
Modeling optical amplifiers: from inverse design to full system optimization
Optical amplifiers play a critical role in the optimization of communication systems striving to
achieve maximum throughput. Here, we review recent efforts in amplifier modeling–from …
achieve maximum throughput. Here, we review recent efforts in amplifier modeling–from …
Forward Raman amplifier optimization using machine learning-aided physical modeling
Forward Raman Amplifier Optimization Using Machine Learning-aided Physical Modeling Page
1 OECC/PSC 2022 ©IEICE Forward Raman Amplifier Optimization Using Machine …
1 OECC/PSC 2022 ©IEICE Forward Raman Amplifier Optimization Using Machine …
SMOF: Simultaneous Modeling and Optimization Framework for Raman Amplifiers in C+ L-Band Optical Networks
As global data traffic continues to surge, more spectrum resources are desired for optical
networks to avoid capacity crunch. Among multiple solutions, multi-band transmission is …
networks to avoid capacity crunch. Among multiple solutions, multi-band transmission is …
Distance and spectral power profile shaping using machine learning enabled Raman amplifiers
Distance and spectral power profile shaping using machine learning enabled Raman amplifiers
Page 1 Distance and spectral power profile shaping using machine learning enabled Raman …
Page 1 Distance and spectral power profile shaping using machine learning enabled Raman …
Optimization of Raman amplifiers: a comparison between black-, grey-and white-box modeling
Designing and optimizing optical amplifiers to maximize system performance is becoming
increasingly important as optical communication systems strive to increase throughput …
increasingly important as optical communication systems strive to increase throughput …