Quantum particle swarm optimization algorithm with the truncated mean stabilization strategy

NR Zhou, SH Xia, Y Ma, Y Zhang - Quantum Information Processing, 2022 - Springer
Many feasible and promising swarm intelligence algorithms have been proposed to solve
the optimization problems, especially the global numerical optimization problems. It is easier …

Ensemble learning aided QPSO-based framework for secrecy energy efficiency in FD CR-NOMA systems

CE Garcia, MR Camana, I Koo - IEEE Transactions on Green …, 2022 - ieeexplore.ieee.org
Cognitive radio (CR), non-orthogonal multiple access (NOMA), and full-duplex (FD)
communications have been considered key technologies for providing spectrum utilization …

Design and transmission analysis of trench-assisted multi-core fibre in standard cladding diameter

X Mu, A Ottino, FM Ferreira, G Zervas - Optics Express, 2022 - opg.optica.org
6-core and 8-core trench-assisted heterogeneous fibres in standard cladding diameter are
designed using artificial intelligence-based techniques including a cut-off wavelength …

Particle swarm optimization algorithm for dynamic synchronization of smart grid

A Zulueta, I Azurmendi, N Rey, E Zulueta… - Energy Sources, Part …, 2022 - Taylor & Francis
In recent decades, traditional energy generation and consumption have undergone a
transformation to cleaner energy sources. The transition to a sustainable energy system …

Study film and television postproduction and innovation strategy based on an artificial intelligence algorithm

J Han, L Shao - Mobile Information Systems, 2022 - Wiley Online Library
In the process of choosing the best scheme in the artificial intelligence algorithm, it is
impossible to accurately judge the nonlinear relationship between the innovation strategy …

Test Method of Splice Points for Constructing Uncoupled Multi-Core Fiber Transmission Line With Low Inter-Core Crosstalk

A Nakamura, T Oda, Y Koshikiya - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
A key requirement for transmission systems using uncoupled multi-core fibers (MCFs) is the
far-end crosstalk (XT), as it limits the transmission capacity and distance of the system. Far …

Short-reach MCF-based systems employing KK Receivers and feedforward neural networks for ICXT mitigation

D Piedade, T Alves, T Brandão - Photonics, 2022 - mdpi.com
This paper proposes and evaluates the use of machine learning (ML) techniques for
mitigating the effect of the random inter-core crosstalk (ICXT) on 256 Gb/s short-reach …

Neural Network-Assisted Self-Coherent MCF Systems Impaired by ICXT and Laser Phase Noise

TMF Alves, L Oliveira… - 2024 24th International …, 2024 - ieeexplore.ieee.org
The performance of 64 Gbaud self-coherent MCF systems assisted by neural networks to
mitigate the combined effect of the intercore crosstalk (ICXT) and laser phase noise is …

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 …