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 …
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
Cognitive radio (CR), non-orthogonal multiple access (NOMA), and full-duplex (FD)
communications have been considered key technologies for providing spectrum utilization …
communications have been considered key technologies for providing spectrum utilization …
Design and transmission analysis of trench-assisted multi-core fibre in standard cladding diameter
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
curto alcance com ritmo binário superior a 200 Gb/s utilizando receptores Kramers-Kronig …