Dynamic routings in satellite networks: An overview

X Cao, Y Li, X Xiong, J Wang - Sensors, 2022 - mdpi.com
The Satellite network is an important part of the global network. However, the complex
architecture, changeable constellation topology, and frequent inter-satellite connection …

A comprehensive survey of convergence analysis of beetle antennae search algorithm and its applications

C Chen, L Cao, Y Chen, B Chen, Y Yue - Artificial Intelligence Review, 2024 - Springer
In recent years, swarm intelligence optimization algorithms have been proven to have
significant effects in solving combinatorial optimization problems. Introducing the concept of …

Explainable artificial intelligence for cybersecurity

DK Sharma, J Mishra, A Singh, R Govil… - Computers and …, 2022 - Elsevier
Abstract Recently, numerous Machine Learning (ML) algorithms have been applied in many
areas of cybersecurity. However, most of these systems can only be seen as a black box to …

A Q-learning artificial bee colony for distributed assembly flow shop scheduling with factory eligibility, transportation capacity and setup time

J Wang, H Tang, D Lei - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Distributed assembly flow shop scheduling problem (DAFSP) has been considered;
however, DAFSP with factory eligibility, transportation capacity and setup time is seldom …

Dual beetle antennae search system for optimal planning and robust control of 5-link biped robots

AT Khan, X Cao, S Li - Journal of Computational Science, 2022 - Elsevier
In this paper, we presented an optimization-based control framework for the trajectory
planning and the stable control of multiple non-linear systems, ie, 5-link Biped Robot …

A unified resource allocation framework and impact evaluation for NGSO satellite constellations

N Pachler, J Jose Garau‐Luis… - … Journal of Satellite …, 2024 - Wiley Online Library
The new era of satellite communications will rely on thousands of highly flexible spacecraft
capable of autonomously managing constellation resources, such as power or frequency …

Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication

P Krajsic, V Suess, Z Cao, R Kowalczyk… - arXiv preprint arXiv …, 2024 - arxiv.org
Efficient satellite communications play an enormously important role in all of our daily lives.
This includes the transmission of data for communication purposes, the operation of IoT …

[HTML][HTML] Hearing loss classification via AlexNet and extreme learning machine

B Li - International Journal of Cognitive Computing in …, 2021 - Elsevier
Hearing is a very important feeling for humans. It helps to perceive the environment around
us and can warn us of any imminent dangers around us. Hearing loss is an impaired ability …

Deep Neural Network Routing with Dynamic Space Division for 3D UAV FANETs

HG Zhang, T Wang, TT Liu, QS Zhang… - Wireless Personal …, 2022 - Springer
With unmanned aerial vehicles (UAVs) being widely used, the rapidly changing network
topology and vertical height changes of UAVs have been bottlenecks for many wild …

Optimizing green roof rainwater harvesting systems: A modified selfish Herds algorithm approach

H Xie, Y Wu, SM dos Santos - Journal of Hydrology, 2025 - Elsevier
Green roofs (GRs) have gained global attention and promotion for their social and
environmental benefits. However, their limited capacity to retain rainwater leads to water …