Quantum-Inspired Resource Optimization for 6G Networks: A Survey

MO Butt, N Waheed, TQ Duong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The Internet of things (IoT) drives an exponential surge in computing and communication
devices. Consequently, it triggers capacity, coverage, interference, latency, and security …

Fault-Tolerant Attitude Tracking Control Driven by Spiking NNs for Unmanned Aerial Vehicles

W Yu, N Yang, Z Wang, HC Li, A Zhang… - … on Neural Networks …, 2023 - ieeexplore.ieee.org
In this article, we proposed a novel fault-tolerant control scheme for quadrotor unmanned
aerial vehicles (UAVs) based on spiking neural networks (SNNs), which leverages the …

[HTML][HTML] A review of current studies on the unmanned aerial vehicle-based moving target tracking methods

B Yan, Y Wei, S Liu, W Huang, R Feng, X Chen - Defence Technology, 2025 - Elsevier
Unmanned aerial vehicles (UAVs) have become crucial tools in moving target tracking due
to their agility and ability to operate in complex, dynamic environments. UAVs must meet …

AI-Enabled Collaborative Distributed Computing in Networked UAVs

B Mokhtar - IEEE Access, 2024 - ieeexplore.ieee.org
Nowadays, the evolution of AI is noticed in supporting many life applications and
manipulating different data types. It helps complete the tasks and get the required …

Boosting in-transit entertainment: deep reinforcement learning for intelligent multimedia caching in bus networks

D Lan, I Shin - Soft Computing, 2023 - Springer
Multimedia content delivery in advanced networks faces exponential growth in data
volumes, rendering existing solutions obsolete. This research investigates deep …

Double critics and double actors deep deterministic policy gradient for mobile robot navigation using adaptive parameter space noise and parallel experience replay

W Hu, Y Zhou, HW Ho, C Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
In recent years, mobile robots have been increasingly used in a variety of industries, such as
manufacturing, logistics, health care, and security services. Effective autonomous navigation …

Enhanced network metric prediction for machine learning-based cyber security of a software-defined UAV relay network

D Agnew, A Del Aguila, J McNair - IEEE Access, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), eg, drones, have become crucial assets in the military's
fleet of vehicles. UAVs can provide limited bandwidth for tactical communications and can …

Autonomous uav exploration and mapping in uncharted terrain through boundary-driven strategy

FO Coelho, MF Pinto, IZ Biundini, GGR Castro… - IEEE …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) play a crucial role in exploring unpredictable terrains,
such as accident sites and search zones. These robots require autonomous navigation and …

A Novel Computational Intelligence-based Parameter Extraction of UAV-Integrated Photovoltaic System

MH Saeedinia, B Hashemi, AM Cretu, S Taheri - IEEE Access, 2024 - ieeexplore.ieee.org
The precise modeling of unmanned aerial vehicle (UAV)-integrated photovoltaic (PV)
systems is central for their implementation on UAVs, especially due to their continuous …

[HTML][HTML] Diagnosability-optimized design of unmanned aerial vehicles based on structural analysis and maximum mean covariance differences

XP Gu, X Shi - Measurement, 2024 - Elsevier
This study presents a proposed strategy for optimizing diagnosability in unmanned aerial
vehicles (UAVs) through a combination of Structural Analysis (SA) and Maximum Mean …