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May 6, 2024 · In this paper, a deep learning-based eye diagram analyzer is proposed to estimate the Q-factor. CNN architectures such as LeNet, Wide ResNet, ...
Apr 17, 2024 · In this paper, a deep learning-based eye diagram analyzer is proposed to estimate the Q-factor.
May 13, 2024 · developed using a CNN-based deep learning technique [11]. Another OPM technique based on CNN has been presented in [19] for OSNR estimation.
Aug 2, 2023 · This investigation furnishes novel theoretical backing and forecasting tools for high-precision optical transmission.
Missing: Estimation | Show results with:Estimation
Apr 16, 2024 · Another paper published titled "Performance Evaluation of Optical Transmission Based on Link Estimation by Using Deep Learning Techniques" ...
Performance Evaluation of Optical Transmission Based on Link Estimation by Using Deep Learning Techniques · Enhancing Performance of Movie Recommendations Using ...
Optical performance monitoring techniques facilitate the estimation of link-degrading impairments such as optical signal-to-noise ratio degradations and ...
Missing: Evaluation | Show results with:Evaluation
The estimation of the quality of transmission (QoT) in optical systems with machine learning (ML) has recently been the focus of a large body of research. We ...
This investigation furnishes novel theoretical backing and forecasting tools for high-precision optical transmission. Keywords: optical clock; time-frequency ...
Missing: Estimation | Show results with:Estimation