This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

Failure management plays a significant role in optical networks. It ensures secure operation,
mitigates potential risks, and executes proactive protection. Machine learning (ML) is …

Network Traffic Classification (NTC) has become an important feature in various network
management operations, eg, Quality of Service (QoS) provisioning and security services …

Due to widespread applications and rapid development of cloud computing and Internet
services, hyperscale data centers have experienced an unprecedented demand for …

Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …

Much research effort has been conducted to introduce intelligence into communication
networks in order to enhance network performance. Communication networks, both wired …

Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …

The dependency on vehicles is increasing tremendously due to its excellent transport
capacity, fast, efficient, flexible, pleasant journey, minimal physical effort, and substantial …

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 …

Despite the increased exploration of machine learning (ML) techniques for the realization of
autonomous optical networks, less attention has been paid to data quality, which is critical …