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 …

The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

Depending on the seriousness of the offence, any deliberate act that causes harm to oneself
or another, as well as damage to or loss of property, qualifies as a crime for the purposes of …

The machine learning (ML) paradigm has gained much popularity today. Its algorithmic
models are employed in every field, such as natural language processing, pattern …

This paper introduces a novel methodology for developing low-complexity neural network
(NN) based equalizers to address impairments in high-speed coherent optical transmission …

This study evaluates the compressive strength (C–S) of nano-silica-based fiber-reinforced
concrete (NS-FRC) by using advanced machine learning (ML) individual and ensembled …

Despite the increased exploration of machine learning (ML) techniques for the realization of
autonomous optical networks, less attention has been paid to data quality, which is critical …

Previous moderate-and high-temperature geothermal resource assessments of the western
United States utilized data-driven methods and expert decisions to estimate resource …

Optical access networks are envisioned to become increasingly complex as they support
more and more diverse and immersive services, each with a different capacity, latency, and …

Optical interconnects (OIs) based on vertical-cavity surface-emitting lasers (VCSELs) are the
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …