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 discuss the sources of …

In optical networks, a connection (eg, light-path and light-tree) is set up to carry data from its
source to destination (s). When the optical signal transmits through the fiber links and optical …

Machine learning (ML) is more and more used to address the challenges of managing the
physical layer of increasingly heterogeneous and complex optical networks. In this tutorial …

The increase in computing capacity and the huge amount of available data have
significantly accelerated the use of artificial intelligence and machine learning algorithms to …

Machine learning (ML)-based methods are being widely explored to predict the quality of
transmission (QoT) of a lightpath. They are expected to reduce the signal-to-noise ratio …

Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Bayesian
Optimization-Based Algorithm to Improve the Quality of Transmission Estimation Reda …

Increasing traffic demand in the backbone optical network urges the initiation of new
solutions that allow an increment in the transmission/network capacity without a …

Currently, optical fiber technology has become much more advanced to transmit higher data
rates over long-distance transmissions. In this area, the research and development work is …

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 …

Network automation is the current challenge that operators face to accelerate end-to-end
service delivery and improve network operations in the context of rapidly growing capacity …