Machine learning techniques in optical networks: a systematic map** study
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …
networks, software-defined optical networks, and elastic optical networks are some …
Machine-learning-based impairment-aware dynamic RMSCA in multi-core elastic optical networks
JL Ravipudi, M Brandt-Pearce - Journal of Optical …, 2024 - ieeexplore.ieee.org
This paper presents a routing, modulation, spectrum, and core assignment (RMSCA)
algorithm for space-division-multiplexing-based elastic optical networks (SDM-EONs) …
algorithm for space-division-multiplexing-based elastic optical networks (SDM-EONs) …
[HTML][HTML] Application of Lévy and sine cosine algorithm hunger game search in machine learning model parameter optimization and acute appendicitis prediction
S Qu, L Huan, H Zhang, Z Li - Expert Systems with Applications, 2025 - Elsevier
If acute appendicitis is not treated in time, it will develop complications such as perforation
and gangrene, which will lead to death in severe cases, so it is necessary to make an …
and gangrene, which will lead to death in severe cases, so it is necessary to make an …
Integrating Knowledge Distillation and Transfer Learning for Enhanced QoT-Estimation in Optical Networks
A precise assessment of the Quality-of-Transmission (QoT) for a Lightpath (LP) is essential
for efficient optical network design and optimal resource utilization. Recent advances in …
for efficient optical network design and optimal resource utilization. Recent advances in …
Experimental investigation of physics-and ML-based QoT estimation for WDM systems
With a seven-channel WDM transmission over 1000 km, we experimentally study the data-
driven physics-and machine learning (ML)-based SNR estimation techniques. While the ML …
driven physics-and machine learning (ML)-based SNR estimation techniques. While the ML …
Deep learning-based inverse design of multi-functional metasurface absorbers
Y Huang, X Liu, M Liu, J Chen, W Du, Z Liu - Optics Letters, 2024 - opg.optica.org
A novel approach—integrating a simulated annealing (SA) algorithm with deep learning
(DL) acceleration—is presented for the rapid and accurate development of terahertz perfect …
(DL) acceleration—is presented for the rapid and accurate development of terahertz perfect …
Deep Reinforcement Learning for QoT-Aware Routing, Modulation, and Spectrum Assignment in Elastic Optical Networks
A Asiri, B Wang - Journal of Lightwave Technology, 2024 - ieeexplore.ieee.org
Deep reinforcement learning (DRL) has been applied to the routing, modulation, and
spectrum assignment (RMSA) in elastic optical networks (EON), enabling the learning of …
spectrum assignment (RMSA) in elastic optical networks (EON), enabling the learning of …
Forecasting lightpath quality of transmission and implementing uncertainty in the forecast models
The recent popularity of using deep learning models for the forecasting of time series calls
for methods to not only predict the target but also measure the uncertainty of the prediction …
for methods to not only predict the target but also measure the uncertainty of the prediction …
A novel approach for joint analytical and ml-assisted gsnr estimation in flexible optical network
We propose a novel approach to perform QoT estimation relying on joint exploitation of
machine learning and analytical formula that offers accurate estimation when applied to …
machine learning and analytical formula that offers accurate estimation when applied to …
Evolutionary neuron-level transfer learning for QoT estimation in optical networks
Y Zhou, Z Gu, J Zhang, Y Ji - Journal of Optical …, 2024 - ieeexplore.ieee.org
To ensure the reliability and efficiency of lightpath transmission in optical networks, it is
essential to predict the quality of transmission (QoT) of the candidate lightpaths before their …
essential to predict the quality of transmission (QoT) of the candidate lightpaths before their …