In recent years, artificial intelligence/machine learning (AI/ML) has played a significant role
in automating optical networks. Despite this, the methods for creating, deploying, and …

Machine Learning for Future Fiber-Optic Communication Systems provides a
comprehensive and in-depth treatment of machine learning concepts and techniques …

Complex problems invariably involve big data. Machine learning (ML) deals with this big
data. Machine learning does classification, regression and decision making better than …

Optical networks are growing at unprecedented rates to accommodate the explosion in data
traffic brought on by new Internet and enterprise applications. Coupled with this growth has …

Increasing internet traffic, along with rising complexity of optical communication systems
have motivated the development of novel experimental, mathematical and computational …

Today's time is an era of digital revolution and information explosion that has given rise to
massive technological growth in every aspect of life. One such crucial digital transformation …

The nationwide AT&T Intelligent Optical Network is being deployed with the new intelligent
network elements to create a network with reduced capital cost, simplified operations …

Abstract Machine learning (ML) is being hailed as a new direction of innovation to transform
future optical communication systems. Signal processing paradigms based on ML are being …

Dynamic and flexible optical networks are among the evolution scenarios of the optical
transport networks. These form the basis of the new generation of optical networks of …

With the development of software-defined networking and coherent transmission, to name
only a couple of emerging technical and technological areas, optical networks have rapidly …