Optical communication systems are expected to find use in new applications that require
more intelligent and automated functionality. Optical networks are needed to address the …

Abstract Machine learning (ML) has revolutionized a number of science and engineering
disciplines over the past few years. It is also being considered as a new direction of …

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

Radio over Fiber (RoF) technology has been realized in different forms ranging from analog
to more complex forms [1-6]. The enhancement of capacity and wireless coverage has …

The four articles in this special section focus on advancements in optical communications
and network technologies. In 2019, optical communications and networking technologies …

The rapid evolution of the Internet and other communication systems has led to an explosion
of available services and technology, making communication networks increasingly …

Machine Learning in Multi-Layer Optical Networks: Why and How Page 1 M1B.1.pdf OFC 2020
© OSA 2020 Abstract and bio Machine Learning in Multi-Layer Optical Networks: Why and How …

Tutorial: Evolution of Machine Learning in Optical Access Networks Page 1 Tutorial: Evolution
of Machine Learning in Optical Access Networks Elaine Wong, +Lihua Ruan and *Sourav …

Machine learning (ML) has disrupted a wide range of science and engineering disciplines in
recent years. ML applications in optical communications and networking are also gaining …

This paper focuses on comparing the various machine learning (ML) algorithms that can be
applicable in wavelength division multiplexing (WDM) optical networks to provide better …