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 …

Abstract Machine learning (ML) has been remarkably successful in transforming numerous
scientific and technological fields in recent years including computer vision, natural …

This paper presents a linear least squares method for fiber-longitudinal power profile
estimation (PPE), which estimates the optical signal power distribution throughout a fiber …

Recent years have witnessed the unprecedented achievements of large-scale pre-trained
models, especially the Transformer models. Many products and services in Tencent Inc …

To support the pervasive digital evolution, optical network infrastructures must be able to
quickly and effectively adapt to changes arising from traffic dynamicity or external factors …

Digital twin (DT) has revolutionized optical communication networks by enabling their full life-
cycle management, including planning, prediction, optimization, upgrade, and …

Covert faults are characterized by the performance parameters falling within the normal
range, without any observable abnormalities. These types of faults pose a significant risk as …

Recently using machine learning (ML) based techniques to optimize the performance of
modern database management systems (DBMSs) has attracted intensive interest from both …

Conventional optical networks are limited by static operational methods that hinder their
scalability and effectiveness. As networks operate with reduced margins to maximize …

Failure localization serves as a key to an effective fault management plane in the Internet
backbone. This paper investigates a novel failure localization approach, namely Instance …