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 …

Across the spectrum of scientific inquiry and practical applications, the emergence of
artificial intelligence (AI) and machine learning (ML) has comprehensively revolutionized …

The transition to remote work brings uncertainty to the future power consumption pattern.
The COVID mandates in 2020 have accelerated the transition to remote work, generating …

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 …

Automatic modulation classification (AMC), also termed blind signal modulation recognition,
plays a critical role in various civilian and military applications. Although existing …

This study proposed a two-stage method, which combines a convolutional neural network
(CNN) with the continuous wavelet transform (CWT) for multiclass modulation classification …

Species distribution modeling (SDM) is a fundamental tool in theoretical and applied
ecology. However, relatively little is known about the performance of different approaches for …

An algorithm is proposed for few-shot-learning (FSL) jointing modulation format identification
(MFI) and optical signal-to-noise ratio (OSNR) estimation. The constellation diagrams of six …

Nowadays, automatic modulation classification (AMC) has become a key component of next-
generation drone communication systems, which are crucial for improving communication …

A novel scheme for combining modulation format identification (MFI) and optical
performance monitoring (OPM) in elastic optical networks using convolutional-neural …