Joint UAV Location and Precoding Optimization in Hybrid RIS-Assisted Drone Networks
In this work, I investigate the problem of joint optimization of UAV position, transmit precoding, and hybrid reconfigurable intelligent surface […]
In this work, I investigate the problem of joint optimization of UAV position, transmit precoding, and hybrid reconfigurable intelligent surface […]
In recent years, drone technology has advanced rapidly, making multi-UAV cooperative formation flight a key enabler for applications such as
The rapid evolution of fifth-generation mobile communication technologies and the Internet of Things (IoT) has intensified demands for low-latency computational
In my years of research and practical work as an automotive维修 technician and educator, I have witnessed a paradigm shift
In our research, we investigate the application of reinforcement learning techniques for unmanned aerial vehicle (UAV) maritime search path planning.
In this study, I investigate the critical problem of multi-drone collaborative computing offloading in emergency scenarios, such as sudden network
In the realm of modern surveillance and reconnaissance, drone technology has become indispensable due to its flexibility, cost-effectiveness, and operational
In recent years, drone technology has been widely adopted across various domains including agriculture, disaster response, and intelligent transportation. The
The pursuit of advanced drone technology has led to the emergence of trans-medium unmanned aerial vehicles (UAVs), which are capable
As an essential foundational dataset in highway survey and design, the Digital Elevation Model (DEM) has traditionally been measured using
Modern drone technology is rapidly transforming low‑altitude economies, enabling applications such as urban air mobility, emergency response, and secure command
Evaluating Camera Settings and Flight Attitudes on Nighttime Imaging Quality in Unmanned Aerial Vehicles Nighttime light remote sensing plays a
Multi-Unmanned Aerial Vehicle (UAV) collaborative path planning represents a complex optimization challenge involving multiple constraints and conflicting objectives, where planning
In recent years, the low-altitude economy has emerged as a transformative force, driven by advances in drone technology, digital infrastructure,
In the modern railway infrastructure, steel bridges serve as critical components that enable the seamless crossing of natural obstacles and
In this work, we present CMambaSE_YOLOv11, a novel detection framework specifically designed for drone-based traffic object detection. Unmanned aerial vehicle
In the rapidly evolving landscape of unmanned aerial systems, the integration of advanced safety mechanisms has become paramount for ensuring
In our study, we aimed to develop a rapid, non-destructive, and accurate method for estimating the leaf nitrogen (N), phosphorus
We investigate the problem of jointly optimizing three-dimensional (3D) flight trajectories, user scheduling, and power allocation for a fleet of
In recent years, drone technology has rapidly evolved from a niche hobbyist tool into a critical component of both civilian
In modern battlefield environments, the coordinated penetration of multiple unmanned aerial vehicles (UAVs) has emerged as a critical operational paradigm.
In modern battlefield environments, drone technology has become increasingly vital due to its cost-effectiveness and operational versatility. However, the susceptibility
In my recent work, I have been deeply engaged in exploring the capabilities of drone technology for modern urban infrastructure
In recent years, the rapid advancement of low‑altitude economy has led to a massive influx of civilian drone technology into
Mulch film plays a critical role in modern agriculture due to its ability to retain soil moisture, regulate temperature, and
In recent years, drone technology has rapidly evolved from single-platform operations to large-scale swarm collaborations. This shift is driven by
We propose a novel approach for multi-UAV path planning by integrating the cell-like spiking neural P system (CSP) with a
In this study, I propose a comprehensive framework that integrates drone technology with Device‑to‑Device (D2D) communication to enhance mobile edge
Over the past decade, the integration of drone technology into railway engineering has fundamentally transformed how we approach survey, design,
We propose a novel safe control framework that integrates adaptive parameter estimation, a distributed extended state observer (ESO), and a