Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …

With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …

In the optical networks, the dynamicity, the complexity and the heterogeneity have
dramatically increased owing to the deployment of advanced coherent techniques, and the …

Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …

With the development of 5G technology, high definition video and internet of things, the
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …

Techniques from artificial intelligence have been widely applied in optical communication
and networks, evolving from early machine learning (ML) to the recent deep learning (DL) …

In this paper, we first review how the main machine learning concepts can apply to
communication networks. Then we present results from a concrete application using …

Networks are complex interacting systems involving cloud operations, core and metro
transport, and mobile connectivity all the way to video streaming and similar user …

Today's optical networks function are in a fairly static fashion and are built to operate within
well-defined specifications. This scenario is quite challenging for next generation high …

Operators' network management continuously measures network health by collecting data
from the deployed network devices; data is used mainly for performance reporting and …