A survey of next-generation computing technologies in space-air-ground integrated networks
Space-air-ground integrated networks (SAGINs) are key elements for facilitating high-speed
seamless connectivity to the devices/users in infrastructure-less environments, where the …
seamless connectivity to the devices/users in infrastructure-less environments, where the …
A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions
Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields,
including disaster relief, aerial photography and videography, mapping and surveying …
including disaster relief, aerial photography and videography, mapping and surveying …
Pilot: High-precision indoor localization for autonomous drones
In many scenarios, unmanned aerial vehicles (UAVs), aka drones, need to have the
capability of autonomous flight to carry out their missions successfully. In order to fly …
capability of autonomous flight to carry out their missions successfully. In order to fly …
Intelligent reflecting surface backscatter enabled multi-tier computing for 6G internet of things
This paper investigates a novel framework of intelligent reflecting surface (IRS) backscatter
enabled multi-tier computing system. In such a hierarchical network, the data bits of …
enabled multi-tier computing system. In such a hierarchical network, the data bits of …
Beamforming design and trajectory optimization for UAV-empowered adaptable integrated sensing and communication
Unmanned aerial vehicle (UAV) has high flexibility and controllable mobility, therefore it is
considered as a promising enabler for future integrated sensing and communication (ISAC) …
considered as a promising enabler for future integrated sensing and communication (ISAC) …
RF-UAVNet: High-performance convolutional network for RF-based drone surveillance systems
In recent years, the increasing popularity of unmanned aerial vehicles (UAVs) has arisen
from the emergence of cutting-edge technologies deployed in small and low-cost devices …
from the emergence of cutting-edge technologies deployed in small and low-cost devices …
Traffic analysis through deep-learning-based image segmentation from UAV streaming
Alongside many traditional as well as novel applications, in the latest years, drones have
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …
Time–frequency multiscale convolutional neural network for RF-based drone detection and identification
Due to recent technological advancements and significant decreases in their costs, drones
are gaining popularity rapidly. With drones becoming readily accessible to the public, the …
are gaining popularity rapidly. With drones becoming readily accessible to the public, the …
Feasibility study of UAV-assisted anti-jamming positioning
As the cost and technical difficulty of jamming devices continue to decrease, jamming has
become one of the major threats to positioning service. Unfortunately, most conventional …
become one of the major threats to positioning service. Unfortunately, most conventional …
iDROP: Robust localization for indoor navigation of drones with optimized beacon placement
Drones in many applications need the ability to fly fully or partially autonomously to
accomplish their mission. To allow these fully/partially autonomous flights, first, the drone …
accomplish their mission. To allow these fully/partially autonomous flights, first, the drone …