A comprehensive survey on artificial intelligence for unmanned aerial vehicles
S Sai, A Garg, K Jhawar, V Chamola… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) is an emerging technology that finds its application in various
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …
A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
Multiple Access Techniques for Intelligent and Multi-Functional 6G: Tutorial, Survey, and Outlook
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions to serve multiple users/devices/machines/services …
make use of the resource dimensions to serve multiple users/devices/machines/services …
Decomposing fanet to counter massive uav swarm based on reinforcement learning
N Zhang, C Liu, J Ba - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
Armed and autonomous unmanned aerial vehicle (UAV) swarms are a new type of aerial
threat due to their numerical superiority and cooperative communication, and existing …
threat due to their numerical superiority and cooperative communication, and existing …
Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review
This review paper provides insights into optimization strategies for Unmanned Aerial
Vehicles (UAVs) in a variety of surveillance tasks and scenarios. From basic path planning …
Vehicles (UAVs) in a variety of surveillance tasks and scenarios. From basic path planning …
Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems
As deep neural networks continue to expand and become more complex, most edge
devices are unable to handle their extensive processing requirements. Therefore, the …
devices are unable to handle their extensive processing requirements. Therefore, the …
Enhancing the Efficiency of UAV Swarms Communication in 5G Networks through a Hybrid Split and Federated Learning Approach
The integration of unmanned aerial vehicles (UAVs) with 5G networks presents a promising
opportunity to revolutionize wireless communication and provide high-speed internet access …
opportunity to revolutionize wireless communication and provide high-speed internet access …
A Survey on Applications of Unmanned Aerial Vehicles using Machine Learning
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …
health, transport, telecommunications and safe and rescue operations. Their adoption can …
Multi-criteria Knowledge-based decision-making functionality for swarm of drones
D Georgiadis, E Politi… - 2024 Wireless …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs), or commonly referred to as drones are now being
utilized for a variety of data-intensive applications in the transportation civil and military …
utilized for a variety of data-intensive applications in the transportation civil and military …
Machine Learning Based Flight State Prediction for Improving UAV Resistance to Uncertainty
J Mu, Y Fei, F Wang, X Zeng - 2023 - sae.org
Abstract Unmanned Aerial Vehicles (UAVs) encounter various uncertainties, including
unfamiliar environments, signal delays, limited control precision, and other disturbances …
unfamiliar environments, signal delays, limited control precision, and other disturbances …