A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …
technologies, the infrastructure, devices and resources in networking systems are becoming …
A contemporary survey on free space optical communication: Potentials, technical challenges, recent advances and research direction
Due to the unprecedented growth of high speed multimedia services and diversified
applications initiated from the massive connectivity of IoT devices, 5G and beyond 5G (B5G) …
applications initiated from the massive connectivity of IoT devices, 5G and beyond 5G (B5G) …
An overview on application of machine learning techniques in optical networks
Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …
heterogeneous data. This information can be retrieved from network traffic traces, network …
Artificial intelligence based quality of transmission predictive model for cognitive optical networks
Due to the advancements in 5 G technologies, high-definition, and the internet of things
(IoT), the capacity demand of optical networks has been exponentially increased. Optical …
(IoT), the capacity demand of optical networks has been exponentially increased. Optical …
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 intelligent optical networks: A comprehensive survey
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …
services and technologies, communication networks have been suffering increasing …
Machine learning models for estimating quality of transmission in DWDM networks
RM Morais, J Pedro - Journal of Optical Communications and …, 2018 - ieeexplore.ieee.org
It is estimated that 5G and the Internet of Things (IoT) will impact traffic, both in volume and
dynamicity, at unprecedented rates. Thus, to cost-efficiently accommodate these challenging …
dynamicity, at unprecedented rates. Thus, to cost-efficiently accommodate these challenging …
Pollution reduction effect of the digital transformation of heavy metal enterprises under the agglomeration effect
L Xiong, J Ning, Y Dong - Journal of Cleaner Production, 2022 - Elsevier
There are few studies on the reduction of heavy metal pollution from the perspectives of
digital transformation and the agglomeration effect of heavy metal enterprises. In this study …
digital transformation and the agglomeration effect of heavy metal enterprises. In this study …
Machine learning regression for QoT estimation of unestablished lightpaths
Estimating the quality of transmission (QoT) of a candidate lightpath prior to its establishment
is of pivotal importance for effective decision making in resource allocation for optical …
is of pivotal importance for effective decision making in resource allocation for optical …
Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects
The rockburst phenomenon is the major source of the high number of casualties and
fatalities during the construction of deep underground projects. Rockburst poses a severe …
fatalities during the construction of deep underground projects. Rockburst poses a severe …