[HTML][HTML] Artificial intelligence (AI) methods in optical networks: A comprehensive survey

J Mata, I De Miguel, RJ Durán, N Merayo… - Optical switching and …, 2018 - Elsevier
Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …

[HTML][HTML] Overview on routing and resource allocation based machine learning in optical networks

Y Zhang, J **n, X Li, S Huang - Optical Fiber Technology, 2020 - Elsevier
For optical networks, routing and resource allocation which considerably determines the
resource efficiency and network capacity is one of the most important works. It has been …

A reinforcement learning-based QAM/PSK symbol synchronizer

M Matta, GC Cardarilli, L Di Nunzio, R Fazzolari… - Ieee …, 2019 - ieeexplore.ieee.org
Machine Learning (ML) based on supervised and unsupervised learning models has been
recently applied in the telecommunication field. However, such techniques rely on …

Mitigation of time-varying distortions in Nyquist-WDM systems using machine learning

JJG Torres, S Varughese, VA Thomas… - Optical Fiber …, 2017 - Elsevier
We propose a machine learning-based nonsymmetrical demodulation technique relying on
clustering to mitigate time-varying distortions derived from several impairments such as IQ …

Convolutional neural networks for optical performance monitoring

HJ Cho, D Lippiatt, S Varughese… - 2019 IEEE Avionics …, 2019 - ieeexplore.ieee.org
We demonstrate accurate OSNR estimation using convolutional neural networks based on
the constellation image of a QAM signal. Simulation and experiment results demonstrate …

Artificial intelligence, internet of things, and communication networks

G Singh, G Kaur - Artificial Intelligence to Solve Pervasive Internet of …, 2021 - Elsevier
Today's time is an era of digital revolution and information explosion that has given rise to
massive technological growth in every aspect of life. One such crucial digital transformation …

[CITAZIONE][C] Artificial intelligence in computer networks

TA Jaber - Periodicals of Engineering and Natural Sciences (PEN), 2022

Next generation> 200 Gb/s multicore fiber short-reach networks employing machine learning

DAÉ Piedade - 2022 - search.proquest.com
Este trabalho propõe e avalia o uso de técnicas de machine learning (ML) em sistemas de
curto alcance com ritmo binário superior a 200 Gb/s utilizando receptores Kramers-Kronig …

[PDF][PDF] Trabajo Fin de Máster

ESM López - Trauma, 2014 - core.ac.uk
En los últimos años el término Big Data aparece a menudo asociado a una gran cantidad
de disciplinas, medicina, deporte, economía, aprendizaje, etc. Realmente,¿ sabemos que …

Artificial intelligence-enabled optical wireless communication links: a revolutionary approach toward smart communication model

R Miglani, JS Malhotra, SS Chaudhary, GS Gaba - 2021 - IET
Optical wireless communication links with transmission and bandwidth properties vary the
same as that of conventional fiber links that can be installed at 1/10th of the cost of the latter …