Quantum-Inspired Resource Optimization for 6G Networks: A Survey
The Internet of things (IoT) drives an exponential surge in computing and communication
devices. Consequently, it triggers capacity, coverage, interference, latency, and security …
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
vehicles (UAVs) through a combination of Structural Analysis (SA) and Maximum Mean …