A survey on sparrow search algorithms and their applications
J Xue, B Shen - International Journal of Systems Science, 2024 - Taylor & Francis
The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm that
has made some significant advances since its introduction in 2020. A detailed overview of …
has made some significant advances since its introduction in 2020. A detailed overview of …
A hierarchical sparrow search algorithm to solve numerical optimization and estimate parameters of carbon fiber drawing process
J Xue, B Shen, A Pan - Artificial Intelligence Review, 2023 - Springer
The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm and
has been widely studied in recent years. Nevertheless, as with other swarm intelligence …
has been widely studied in recent years. Nevertheless, as with other swarm intelligence …
[HTML][HTML] EMI threat assessment of UAV data link based on Multi-Task CNN
T Xu, Y Chen, Y Wang, D Zhang, M Zhao - Electronics, 2023 - mdpi.com
In this work, a multi-task convolutional neural network with multi-input (MIMT-CNN) is
proposed for electromagnetic interference (EMI) signals recognition and electromagnetic …
proposed for electromagnetic interference (EMI) signals recognition and electromagnetic …
A multi-strategy-guided sparrow search algorithm to solve numerical optimization and predict the remaining useful life of li-ion batteries
J Xue, B Shen, A Pan - The Journal of Supercomputing, 2024 - Springer
In this paper, a novel optimization method is proposed based on the sparrow search
algorithm, namely, multi-strategy-guided sparrow search algorithm (MGSSA). It is well …
algorithm, namely, multi-strategy-guided sparrow search algorithm (MGSSA). It is well …
[HTML][HTML] Research on bronze wine vessel classification using improved SSA-CBAM-GNNs
W Wang, S Miao, Y Liao - Plos one, 2024 - journals.plos.org
This article proposes an advanced classification algorithm for bronze drinking utensils,
taking into account the complexity of their cultural characteristics and the challenges of …
taking into account the complexity of their cultural characteristics and the challenges of …
[HTML][HTML] Research on line loss analysis and intelligent diagnosis of abnormal causes in distribution networks: artificial intelligence based method
Y Liao, W En, B Li, M Zhu, Z Li, ZM Gu - PeerJ Computer Science, 2023 - peerj.com
The primary source of energy losses in distribution networks (DNs) is rooted in line losses,
which is crucial to conduct a thorough and reasonable examination of any unusual sources …
which is crucial to conduct a thorough and reasonable examination of any unusual sources …
Adaptive EMS Test Design Method on UAV Data Link Based on Bayesian Optimization
T Xu, Y Chen, M Zhao, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The complex electromagnetic environment makes the electromagnetic susceptibility (EMS)
test challenging for the unmanned aerial vehicle (UAV) data link. The EMS test can be …
test challenging for the unmanned aerial vehicle (UAV) data link. The EMS test can be …
Evolutionary Ensemble Learning for Remote Interference Discrimination in 6G Networks
Atmospheric ducts can result in severe remote interference in time-division duplex (TDD)
communication systems of the sixth-generation (6G). The accurate remote interference …
communication systems of the sixth-generation (6G). The accurate remote interference …
Identification of New EMC Factors of UAV FHSS Datalink in the Pre-Compliance Test Phase.
B Imrane, M Hassane - Journal of Engineering Science & …, 2023 - search.ebscohost.com
This document presents a cost-effective methodology to diagnose the various parameters
that influence the electromagnetic susceptibility (EMS) of a datalink using the frequency …
that influence the electromagnetic susceptibility (EMS) of a datalink using the frequency …