Reservoir computing originates in the early 2000s, the core idea being to utilize dynamical
systems as reservoirs (nonlinear generalizations of standard bases) to adaptively learn …

Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

With the rapid development of optical communication systems, more advanced techniques
conventionally used in long-haul transmissions have gradually entered systems covering …

Optical network automation requires accurate physical layer models, not only for
provisioning but also for real-time analysis. In particular, in-phase (I) and quadrature (Q) …

The emergence of drone-based innovative cyber security solutions integrated with the
Internet of Things (IoT) has revolutionized navigational technologies with robust data …

Abstract Machine learning (ML) and neuromorphic computing have been enforcing problem-
solving in many applications. Such approaches found fertile ground in optical …

In this study, predictions by leading network technology companies and current literature on
5 G technologies have been investigated to shed a light on the foreseeable future of the …

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) …

Progress in optical wireless communication (OWC) has unleashed the potential to transmit
data in an ultra-fast manner without incurring large investments and bulk infrastructure. OWC …

This article considers, for the first time, optical performance monitoring (OPM) in few mode
fiber (FMF)-based optical networks. 1-D features vector, extracted by projecting a 2-D …