[HTML][HTML] Artificial intelligence (AI) methods in optical networks: A comprehensive survey
Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …
systems to solve problems by emulating complex biological processes such as learning …
Machine learning techniques for quality of transmission estimation in optical networks
Y Pointurier - Journal of Optical Communications and …, 2021 - ieeexplore.ieee.org
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 …
(ML) has recently been the focus of a large body of research. We discuss the sources of …
Machine learning for optical fiber communication systems: An introduction and overview
Optical networks generate a vast amount of diagnostic, control, and performance monitoring
data. When information is extracted from these data, reconfigurable network elements and …
data. When information is extracted from these data, reconfigurable network elements and …
A survey on traffic prediction techniques using artificial intelligence for communication networks
A Chen, J Law, M Aibin - Telecom, 2021 - mdpi.com
Much research effort has been conducted to introduce intelligence into communication
networks in order to enhance network performance. Communication networks, both wired …
networks in order to enhance network performance. Communication networks, both wired …
A survey on QoT prediction using machine learning in optical networks
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 …
source to destination (s). When the optical signal transmits through the fiber links and optical …
Artificial Intelligence Applications in Telecommunications and other network industries
RE Balmer, SL Levin, S Schmidt - Telecommunications Policy, 2020 - Elsevier
Artificial intelligence applications in network industries have the potential to reduce network
roll-out and operating costs, improve performance, enhance customer service, and support …
roll-out and operating costs, improve performance, enhance customer service, and support …
[PDF][PDF] Artificial intelligence in computer networks
TA Jaber - Periodicals of Engineering and Natural Sciences …, 2022 - scholar.archive.org
Artificial Intelligence (AI) has been defined as a modern and intense scientific topic that
enables computerbased systems or embedded systems to divide and solve problems by …
enables computerbased systems or embedded systems to divide and solve problems by …
Invariant convolutional neural network for robust and generalizable QoT estimation in fiber-optic networks
Accurately estimating the quality of transmission (QoT) in modern transport optical networks
has been regarded as one of the most critical factors to reduce the design margins. In recent …
has been regarded as one of the most critical factors to reduce the design margins. In recent …
Learning quantile QoT models to address uncertainty over unseen lightpaths
H Maryam, T Panayiotou, G Ellinas - Computer Networks, 2022 - Elsevier
Uncertainty in quality-of-transmission (QoT) estimation is traditionally addressed through
empirical, myopic margins, ignoring the fact that each unseen lightpath is subject to different …
empirical, myopic margins, ignoring the fact that each unseen lightpath is subject to different …
Artificial intelligence emergence in disruptive technology
Artificial intelligence (AI) is the most prominent technology driving digital transformation
across the world. The digital transformation has made nimiety of data available for big data …
across the world. The digital transformation has made nimiety of data available for big data …