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

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 …

Machine Learning (ML) for Optical Communication (OC) is certainly a hot topic emerged
recently and will continue to raise interest at least for the next few years. The rate of research …

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

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 …

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

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

Machine learning (ML) has achieved phenomenal success in revolutionizing a number of
science and engineering disciplines over the last decade. Naturally, it is also being …

The trade-off between more user bandwidth and quality of service requirements introduces
unprecedented challenges to the next generation smart optical networks. In this regard, the …

Applications of machine learning (ML) models in optical communications and networks have
been extensively investigated. For an optical wavelength-division-multiplexing (WDM) …