低空经济 · 全部实体（第 9 / 100 页）

本页收录第 801–900 条，共 9968 条 · 返回 低空经济 首页

• Optimal UAV Placement in 3D Space for Enhanced Communication Performance: A Multi-Objective Particle Swarm Optimization Approach
  <p>This paper presents an optimization framework for an Unmanned Aerial Vehicle (UAV) assisted communication system. The goal is to determine the optimal placement of the UAV in three-dimensional space (xu, yu, zu) to minimize power consumption and maxim…
  crossref Muhammad Khalil 2023-04-11T16:23:14Z 置信度 0.79 computer and information scienceselectrical engineering, electronic engineering, information engineeringsystems and controleess.sysignal processing
• Uav Swarm for Connectivity Enhancement of Multiple Isolated Sensor Networks Based on Subnet Priority
  crossref Yiping Yao, Hongbin Chen, Zhihui Guo 2025-06-12T13:43:20Z 置信度 0.66
• Resultant Force Approach for Swarm UAV Behaviors
  Swarm robotics is an approach in collective robotics inspired by the self-organized behavior of social animals. Through simple rules and local interactions, swarm robotics aims at designing robust, scalable, and flexible collective behaviors for the coordinati…
  crossref Recep Demirci, Erkan Uslu 2021-11-18T17:19:20Z 置信度 0.74
• Low-fidelity Design Optimization and Development of a VTOL Swarm UAV using an Open-source Framework
  Abstract Hybrid configurations in aircraft design are highly favorable as they can achieve the appropriate trade-offs required to develop a generalized unmanned aerial system. Rapid prototyping of such systems at the student level is a challenge because commer…
  preprints Nikhil Sethi, Saurav Ahlawat 2022 置信度 0.84 electrical engineering, electronic engineering, information engineeringcomputer and information sciencessystems and controlroboticscomputer science
• Heterogeneous Policy Network Reinforcement Learning for UAV Swarm Confrontation
  UAV swarms confrontation is becoming increasingly important in the field of military security, however, learning effective cooperative strategies for heterogeneous UAV swarms confrontation remains a major challenge. In this paper, we address the heterogeneous …
  crossref Aocheng Su, Fengxuan Hou, Yiguang Hong 2025-02-13T18:29:08Z 置信度 0.76
• Counter UAS Solutions Through UAV Swarm Environments
  This work proposes a scalable unmanned aircraft system (UAS) swarm framework for autonomous detection of rogue unmanned aerial vehicles (UAVs) in a defined airspace. Data from UAV sensor systems is communicated between each swarm entity to coordinate a mission…
  crossref Martin Pozniak, Prakash Ranganathan 2019-09-13T00:48:55Z 置信度 0.74
• Swarm Intelligence for UAV
  This paper explores the utilization of swarm intelligence (SI) in unmanned aerial vehicle (UAV) systems, focusing on the application of SI algorithms such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Artificial Bee Colony (ABC). The…
  crossref Tetiana Volovoda 2025-01-10T19:53:12Z 置信度 0.76
• A Novel Multi-Aperture Method for Unified Near-Field and Far-Field Localization Using UAV Swarm
  <p>Near-field target positioning and far-field localization are traditionally regarded as two distinct challenges. As the modified polar representation (MPR) model was proposed, the localization method based on this model has been widely studied. Several…
  crossref Yu Yao, Lili Fang, Xiue Bao 2023-10-11T21:35:50Z 置信度 0.79 underwatercomputer and information scienceselectrical engineering, electronic engineering, information engineeringroboticssignal processing
• A Novel Multi-Aperture Method for Unified Near-Field and Far-Field Localization Using UAV Swarm
  Near-field target positioning and far-field localization are traditionally regarded as two distinct challenges. As the modified polar representation (MPR) model was proposed, the localization method based on this model has been widely studied. Several closed-f…
  crossref Yu Yao, Lili Fang, Xiue Bao 2023-10-11T17:35:48Z 置信度 0.79 underwaterelectrical engineering, electronic engineering, information engineeringcomputer and information sciencessignal processingrobotics
• Mist computing in distributed UAV swarm control
  LoRa is the physical and link-layer technology that enables the broadcasting of low-throughput data over distances of several kilometers. LoRa is particularly well suited to transmitting sensor readouts between drones within clusters, hence enabling localized …
  crossref Rolando Herrero, Martin Cadirola 2026-08-18T14:54:23Z 置信度 0.76
• Collaborative Optimization of UAV Swarm Distribution of Emergency Supplies
  crossref Yiheng Zhang, Guang Song 2022-10-29T11:39:34Z 置信度 0.64
• A Hybrid Particle Swarm Optimization Algorithm for Multi-Objective UAV Swarm Topology Shaping
  UAV swarm need to form specific topology shapes based on the requirements of various missions. Existing topology shaping methods adopting fixed topology shaping positions fail to optimize the total traveled distance for formation switching of UAV swarm. Moreov…
  crossref Jiqing Ma, Quan Zheng, Huasen He, Yunpeng Hou 等 2025-04-03T00:01:20Z 置信度 0.76
• Dynamic Topology Reconstruction Protocol for UAV Swarm Networking
  Along with the fourth industrial revolution, the use of unmanned aerial vehicles (UAV) has grown very rapidly over the past decade. With this rapid growth, studies using UAVs are underway in various areas. UAVs are more economical and effective when utilizing …
  crossref Minsoo Park, SeungGwan Lee, Sungwon Lee 2020-07-06T11:07:42Z 置信度 0.79 computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringeess.spsignal processing
• Using an Intelligent UAV Swarm in Natural Disaster Environments
  Due to their volatile behavior, natural disasters are challenging problems as they often cannot be accurately predicted. An efficient method to gather updated information of the status of a disaster, such as the location of any trapped survivors, is extremely …
  crossref Jamie Asbach, Souma Chowdhury, Kemper Lewis 2018-11-02T14:34:01Z 置信度 0.78 underwatereess.sysystems and controlcs.nimath.oc
• Conclusion
  crossref Haipeng Yao, Tianle Mai 2025-08-30T11:38:40Z 置信度 0.59
• Enhancing Wildfire Propagation Model Predictions Using UAV Swarm-Based Real-Time Wind Measurements: A Conceptual Framework
  crossref Mohammad Tavakol Sadrabadi, Mauro S. Innocente 2023-09-05T15:34:14Z 置信度 0.64
• Overview of UAV Swarm Communication and Cooperative Operation in Denial Environment
  crossref Yajing Yan, Bi Wu, Hang Yang, Yongbo Xuan 2024-06-14T19:01:29Z 置信度 0.66
• A Mission-Driven Flocking Control Scheme for UAV Swarm Formation Flight
  crossref Xinyi Li, Rui Li, Chen Zhou, Yingjing Shi 2024-06-14T19:01:29Z 置信度 0.66
• Joint Optimization of Beamforming and Trajectory for Wireless Secrecy Communication of Uav Swarm
  crossref Zhe Xu, Xiangming Zheng, Jianjiang Zhou, Fei Wang 2025-05-15T22:48:37Z 置信度 0.66
• A Survey of UAV Swarm Task Allocation Based on the Perspective of Coalition Formation
  Coalition formation of unmanned aerial vehicle (UAV) swarms, an effective solution for UAV swarm task allocation, is an important technology for UAV swarms to perform real-time and efficient collaborative task allocation in a dynamic and unknown environment. T…
  crossref Husheng Wu, Qiang Peng, Meimei Shi, Lining Xing 2022-09-29T11:21:53Z 置信度 0.79 eess.spcs.rocs.nielectrical engineering, electronic engineering, information engineeringtask
• An application on the mission planning of UAV swarm
  Within the scope of this work, a combat intelligence, surveillance and attack scenario is designed. Solutions to the problem of planning for unmanned aerial vehicles (UAV), which function in a host of possible enemy elements in a given area, have been produced…
  crossref İlkay Gümüşboğa 2018-07-09T23:00:46Z 置信度 0.72
• UAV Swarm Path Planning
  We present an algorithm for the modeling and management of groups of autonomous Unmanned Aerial Vehicles (UAV). The algorithm extends a previous work in which aircraft were considered individually. In this paper, we decompose the algorithm into two computation…
  crossref Scott James, Robert Raheb, Allison Hudak 2020-10-14T15:57:25Z 置信度 0.74
• Cooperative Attack Algorithm for UAV Swarm System Under Spatiotemporal Constraints
  crossref Zhiyan Zhou, Jianglong Yu, Qingdong Li, Hong Jiang 2024-07-11T08:02:28Z 置信度 0.66
• Introduction
  crossref Haipeng Yao, Tianle Mai 2025-08-30T11:38:48Z 置信度 0.59
• A Multi-agent Deep Reinforcement Learning Framework for UAV Swarm
  crossref Fanyu Zeng, Haigen Yang, Qian Zhao, Min Li 2024-06-14T19:01:29Z 置信度 0.66
• Cooperative Encirclement of Malicious UAVs in an Interspersed UAV Swarm
  This paper presents a goal assignment strategy for encircling a malicious Unmanned Aerial Vehicle (UAV) swarm, initially interspersed within a trusted UAV swarm. The proposed strategy leverages the construction of convex layers using the initial positions of t…
  crossref Gautam Kumar, Ashwini Ratnoo 2026-01-29T07:39:48Z 置信度 0.76
• Maintaining connectivity in UAV swarm sensing
  In many applications, Unmanned Aerial Vehicles (UAVs) provide an indispensable platform for gathering information about the situation on the ground. However, to maximise information gained about the environment, such platforms require increased autonomy to coo…
  crossref W. T. Luke Teacy, Jing Nie, Sally McClean, Gerard Parr 2011-01-24T16:09:09Z 置信度 0.72
• Dynamic Pathfinding for a Swarm Intelligence Based UAV Control Model Using Particle Swarm Optimisation
  In recent years unmanned aerial vehicles (UAVs) have become smaller, cheaper, and more efficient, enabling the use of multiple autonomous drones where previously a single, human-operated drone would have been used. This likely includes crisis response and sear…
  crossref Lewis M. Pyke, Craig R. Stark 2021-11-22T04:51:55Z 置信度 0.79 computer sciencecomputer and information sciencesartificial intelligenceroboticsunderwater
• Method of Task Assignment for UAV Based on Particle Swarm Optimization in logistics
  In recent years, there are many research achievements in the fields of logistics and Unmanned Aerial Vehicle (UAV). But the research achievement of the combination of the two fields is few. Researching on the combination of the UAV filed and the logistics file…
  crossref Xiaowei Jiang, Qiang Zhou, Ying Ye 2017-05-17T13:55:06Z 置信度 0.72
• Swarm Intelligence Algorithm Assisted Dynamic Spectrum Sharing for UAV Swarm
  This paper proposes a method for generating dynamic spectrum-sharing unmanned aerial vehicle (UAV) swarm formations based on the Swarm Intelligence Algorithm (SIA). It aims to address the challenges of limited spectrum resources and effective coordination. Uti…
  crossref Yang Han, Xiaomin Liao, You Li, Guojun Ye 2025-09-29T17:50:48Z 置信度 0.76
• Research on indoor UAV swarm positioning technology based on UWB
  The use of UAVs in indoor environments is becoming more and more common, and one of the key technologies that enables the use of UAVs in indoor environments is the acquisition of indoor positioning information where the UAV is working. UAV swarm positioning is…
  crossref Song Wang 2023-11-16T18:52:15Z 置信度 0.74
• Control of an UAV swarm in amorphous formation
  Formation flying, particularly in swarms, has become a prominent area of interest for UAV applications. While rigid formation shapes offer several advantages, they also increase the likelihood of detection by optical or radar systems. Drawing inspiration from …
  crossref Benjamin Piet, Guillaume Strub, Sébastien Changey, Nicolas Petit 2025-08-21T18:17:51Z 置信度 0.76
• UAV-Assisted Coverage Hole Detection Using Reinforcement Learning in Urban Cellular Networks
  Deployment of cellular networks in urban areas requires addressing various challenges. For example, high-rise buildings with varying geometrical shapes and heights contribute to signal attenuation, reflection, diffraction, and scattering effects. This creates …
  datacite Rahman, Mushfiqur, Guvenc, Ismail, Ramirez, David, Wong, Chau-Wai 2025 置信度 0.77 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
  Quantum computing holds transformative potential for optimizing large-scale drone fleet operations, yet its near-term limitations necessitate hybrid approaches blending classical and quantum techniques. This work introduces Quantum Unmanned Aerial Delivery Rou…
  datacite Holliday, James B., Blount, Darren, Nguyen, Hoang Quan, Khan, Samee U. 等 2025 置信度 0.77 Emerging Technologies (cs.ET)FOS: Computer and information sciencesFOS: Computer and information sciences
• Sum-of-Squares Data-driven Robustly Stabilizing and Contracting Controller Synthesis for Polynomial Nonlinear Systems
  This work presents a computationally efficient approach to data-driven robust contracting controller synthesis for polynomial control-affine systems based on a sum-of-squares program. In particular, we consider the case in which a system alternates between per…
  datacite El-Kebir, Hamza, Ornik, Melkior 2025 置信度 0.77 Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• DEAL-YOLO: Drone-based Efficient Animal Localization using YOLO
  Although advances in deep learning and aerial surveillance technology are improving wildlife conservation efforts, complex and erratic environmental conditions still pose a problem, requiring innovative solutions for cost-effective small animal detection. This…
  datacite Naidu, Aditya Prashant, Gosalia, Hem, Gakhar, Ishaan, Rathore, Shaurya Singh 等 2025 置信度 0.77 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization
  Geo-localization is an essential component of Unmanned Aerial Vehicle (UAV) navigation systems to ensure precise absolute self-localization in outdoor environments. To address the challenges of GPS signal interruptions or low illumination, Thermal Geo-localiza…
  datacite Xiao, Jiuhong, Loianno, Giuseppe 2025 置信度 0.77 Robotics (cs.RO)Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
  This paper addresses the challenge of decentralized task allocation within heterogeneous multi-agent systems operating under communication constraints. We introduce a novel framework that integrates graph neural networks (GNNs) with a centralized training and …
  datacite Ratnabala, Lavanya, Fedoseev, Aleksey, Peter, Robinroy, Tsetserukou, Dzmitry 2025 置信度 0.77 Robotics (cs.RO)Machine Learning (cs.LG)Multiagent Systems (cs.MA)FOS: Computer and information sciencesFOS: Computer and information sciences
• Empirical Line-of-Sight Probability Modeling for UAVs in Random Urban Layouts
  Accurate Probability of Line-of-Sight (PLoS) modeling is important in evaluating the performance of Unmanned Aerial Vehicle (UAV)-based communication systems in urban environments, where real-time communication and low latency are often major requirements. Exi…
  datacite Saboor, Abdul, Cui, Zhuangzhuang, Vinogradov, Evgenii, Pollin, Sofie 2025 置信度 0.77 Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Uncertainty Propagation and Minimization for Channel Estimation in UAV-mounted RIS Systems
  Reconfigurable Intelligent Surfaces (RIS) are emerging as a key technology for sixth-generation (6G) wireless networks, leveraging adjustable reflecting elements to dynamically control electromagnetic wave propagation and optimize wireless connectivity. By pos…
  datacite Weinberger, Kevin, Müller, David, Mönnigmann, Martin, Sezgin, Aydin 2024 置信度 0.77 Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• NEW INITIATIVE OF UNMANNED AERIAL VEHICLE (UAV) EMERGING TECHNOLOGY APPLICATIONS IN NORTH EAST FOR CAPACITY BUILDING AND OUTREACH ACTIVITIES OF NORTH EASTERN SPACE APPLICATIONS CENTRE
  Abstract. Unmanned Aerial Vehicle (UAV) technology is revolutionizing and acting as an alternative for many of remote sensing applications, particularly for very high resolution satellite requirements, considering easy of flying in the areas of persistent clou…
  datacite P. L. N. Raju, Chirag Gupta, Victor Saikhom, S. Pandit 等 2018 置信度 0.75 Unmanned Aerial Vehicle CommunicationsAerospace EngineeringFOS: Mechanical engineeringEngineeringPhysical Sciences
• NEW INITIATIVE OF UNMANNED AERIAL VEHICLE (UAV) EMERGING TECHNOLOGY APPLICATIONS IN NORTH EAST FOR CAPACITY BUILDING AND OUTREACH ACTIVITIES OF NORTH EASTERN SPACE APPLICATIONS CENTRE
  Abstract. Unmanned Aerial Vehicle (UAV) technology is revolutionizing and acting as an alternative for many of remote sensing applications, particularly for very high resolution satellite requirements, considering easy of flying in the areas of persistent clou…
  datacite P. L. N. Raju, Chirag Gupta, Victor Saikhom, S. Pandit 等 2018 置信度 0.75 Unmanned Aerial Vehicle CommunicationsAerospace EngineeringFOS: Mechanical engineeringEngineeringPhysical Sciences
• Classification of Nitrogen-Efficient Wheat Varieties Based on UAV Hyperspectral Remote Sensing.
  Aiming at tackling the challenges of traditional classification methods, which are labor-intensive, time-consuming, and inefficient, a nitrogen-efficient wheat variety classification method using support vector machine-extreme gradient boosting (SVM-XGBoost) b…
  pubmed Li Y, Wang C, Zhu J, Wang Q 等 2025 Jun 20 置信度 0.96 artificial intelligencecomputer sciencecs.lgcomputer and information sciencesbrain-computer interface
• Abnormal Audiogram Risk Factors in Military Aircrew and Ground-Based Aviation Personnel.
  The military aviation environment is inherently noisy, with occupational noise hazards from a variety of sources. At the same time, it demands good binaural auditory acuity and speech discrimination abilities for the safe and effective performance of flight du…
  pubmed Seah BZQ, Ng WT, Gan WH, Low JW 等 2025 May 置信度 0.96 internal medicinepsychological interventionmedicinemental healthpopulation
• YOLO-GML: An object edge enhancement detection model for UAV aerial images in complex environments.
  Uav target detection is a key technology in low altitude security, disaster relief and other fields. However, in practical application scenarios, there are many complex and highly uncertain factors, such as extreme weather changes, large scale and span of the …
  pubmed Zheng Z, Zhao J, Fan J 2025 置信度 0.96 computer sciencecomputer and information sciencessignal processingelectrical engineering, electronic engineering, information engineeringconvolutional neural network
• Planning trajectory for UAVs using the self-organizing migrating algorithm.
  Ensuring efficient and safe trajectory planning for UAVs in complex and dynamic environments is a critical challenge, especially for UAVs that are increasingly deployed in applications like environmental monitoring, disaster management, and surveillance. The p…
  pubmed Diep QB, Truong TC, Zelinka I 2025 置信度 0.96 computer and information scienceselectrical engineering, electronic engineering, information engineeringroboticscs.rocomputer science
• Uncovering dominant drivers of Erigeron annuus distribution in Dajiuhu-Shennongjia wetland using multiscale remote sensing data.
  As a pernicious invasive species, Erigeron annuus (L.) pers. (EAP) poses a significant threat to the biodiversity and ecosystem in Dajiuhu-Shennongjia, China. Predicting potential areas of EAP invasion is essential for improving management efficiency and minim…
  pubmed Xu B, Meng R, Zhao P, Zhao F 等 2025 Oct 置信度 0.96 environmental sciencebiodiversitygeographyecologybiological sciences not elsewhere classified
• Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning.
  In Unmanned Aerial Vehicle (UAV) networks, multi-class aerial image classification (AIC) is crucial in various applications, from environmental monitoring to infrastructure inspection. Deep Learning (DL), a powerful tool in artificial intelligence (AI), proves…
  pubmed Al Mazroa A, Alruwais N, Saeed MK, Othman KM 等 2025 置信度 0.96 artificial intelligencecomputer sciencecomputer and information sciencescs.lgconvolutional neural network
• Direct numerical simulations of dragonfly-inspired corrugated tandem airfoils at low Reynolds number.
  A corrugated wing is known to significantly enhance aerodynamic efficiency in the low Reynolds number regime. Although the result may be relatable directly to two-winged insects, larger insects flying at similar Reynolds numbers, like dragonflies, have four wi…
  pubmed Adak R, Mandal A, Saha S 2025 Jul 15 置信度 0.96 systems and controlphysicspetroleum engineeringphysics.plasm-phquantum physics
• DASNet a dual branch multi level attention sheep counting network.
  Grassland sheep counting is essential for both animal husbandry and ecological balance. Accurate population statistics help optimize livestock management and sustain grassland ecosystems. However, traditional counting methods are time-consuming and costly, esp…
  pubmed Chen Y, Gao R, Li Q, Zhao H 等 2025 置信度 0.96 computer sciencecomputer and information sciencescs.lgartificial intelligencecs.cv
• Explainable few-shot learning workflow for detecting invasive and exotic tree species.
  Deep Learning methods are notorious for relying on extensive labeled datasets to train and assess their performance. This can cause difficulties in practical situations where models should be trained for new applications for which very little data is available…
  pubmed Gevaert CM, Aguiar Pedro A, Ku O, Cheng H 等 2025 Jul 2 置信度 0.96 computer sciencecs.lgcomputer and information sciencesmachine learningartificial intelligence
• Optimizing drone-based pollination method by using efficient target detection and path planning for complex durian orchards.
  Durian is a valuable tropical fruit whose pollination heavily relies on bats and nocturnal insects. However, environmental degradation and pesticide usage have reduced insect populations, leading to inefficient natural pollination. This study proposes an AI-po…
  pubmed Tang R, Tang J, Talip MSA, Aridas NK 等 2025 Jul 1 置信度 0.96 computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringsignal processingcs.cv
• Printed multiple input multiple output antennas powered by passive metamaterial and defected ground for diverse sixth generation applications.
  The evolution of 6th generation (6G) wireless technology has become imperative due to the exponential growth of wireless devices and applications. In a macro-cellular scenario, the 6 GHz electromagnetic spectrum is projected to be the framework for 6G commence…
  pubmed Kamal S, Sen P 2025 Jul 2 置信度 0.96 materials scienceelectrical engineering, electronic engineering, information engineeringcomputer and information sciencessignal processingphysics
• LRDS-YOLO enhances small object detection in UAV aerial images with a lightweight and efficient design.
  Small object detection in UAV aerial images is challenging due to low contrast, complex backgrounds, and limited computational resources. Traditional methods struggle with high miss detection rates and poor localization accuracy caused by information loss, wea…
  pubmed Han Y, Wang C, Luo H, Wang H 等 2025 Jul 2 置信度 0.96 computer and information sciencescs.cvcs.lgartificial intelligencecomputer science
• Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field.
  Improving crop root systems for enhanced adaptation and productivity remains challenging due to limitations in scalable non-destructive phenotyping approaches, inconsistent translation of root phenotypes from controlled environments to the field, and a lack of…
  pubmed Alahmad S, Smith D, Katsikis C, Aldiss Z 等 2025 Nov 4 置信度 0.96 ecologybiological sciences not elsewhere classifiedmedicinescience policyspace science
• Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries.
  The accurate real-time estimation of the remaining useful life (RUL) of lithium-polymer (LiPo) batteries is a critical enabler for ensuring the safety, reliability, and operational efficiency of unmanned aerial vehicles (UAVs). Nevertheless, achieving such pro…
  pubmed Chaoraingern J, Numsomran A 2025 Jun 18 置信度 0.96 computer and information scienceselectrical engineering, electronic engineering, information engineeringcomputer sciencemachine learningartificial intelligence
• Transformer-Based Air-to-Ground mmWave Channel Characteristics Prediction for 6G UAV Communications.
  With the increasing development of 6th-generation (6G) air-to-ground (A2G) communications, the combination of millimeter-wave (mmWave) and multiple-input multiple-output (MIMO) technologies can offer unprecedented bandwidth and capacity for unmanned aerial veh…
  pubmed Huang B, Xin Z, Yang F, Zhang Y 等 2025 Jun 14 置信度 0.96 electrical engineering, electronic engineering, information engineeringsignal processingcomputer and information sciencesinformation theorycomputer science
• Energy-Efficient Deployment Simulator of UAV-Mounted Base Stations Under Dynamic Weather Conditions.
  In unmanned aerial vehicle (UAV)-mounted base station (MBS) networks, user equipment (UE) experiences dynamic channel variations because of the mobility of the UAV and the changing weather conditions. In order to overcome the degradation in the quality of serv…
  pubmed Min G, So J 2025 Jun 11 置信度 0.96 computer and information scienceselectrical engineering, electronic engineering, information engineeringsignal processingnetworking and internet architectureeess.sp
• Closing the Domain Gap: Can Pseudo-Labels from Synthetic UAV Data Enable Real-World Flood Segmentation?
  We present a novel methodology for generating and filtering synthetic Unmanned Aerial Vehicle (UAV) flood imagery to enhance the generalization capabilities of segmentation models. Our framework combines text-to-image synthesis and image inpainting, using cura…
  pubmed Simantiris G, Bacharidis K, Panagiotakis C 2025 Jun 6 置信度 0.96 computer and information sciencescs.cvcs.lgcs.aicomputer science
• Machine Learning-Driven Structural Optimization of a Bistable RF MEMS Switch for Enhanced RF Performance.
  In the rapidly advancing digital era, the demand for miniaturized and high-performance electronic devices is increasing, particularly in applications such as wireless communication, unmanned aerial vehicles, and healthcare devices. Radio-frequency microelectro…
  pubmed Percy JJ, Kanthamani S, Roomi SMM 2025 Jun 4 置信度 0.96 computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringcs.lgrobotics
• Method for assessing rodent infestation in plateau based on SegFormer.
  Rodent infestation is a critical factor contributing to grassland degradation, which significantly negatively affects grassland ecosystems. To assess rodent infestation on the plateau, there is an urgent need for a scientifically sound and effective method to …
  pubmed Huang X, Zhang G, Li C, Han Y 等 2025 置信度 0.96 computer and information sciencescs.cvelectrical engineering, electronic engineering, information engineeringcs.lgcs.sd
• Analysis of Outage Probability and Average Bit Error Rate of Parallel-UAV-Based Free-Space Optical Communications.
  Recently, free-space optical (FSO) communication systems utilizing unmanned aerial vehicle (UAV) relays have garnered significant attention. Integrating UAV relays into FSO communication and employing cooperative diversity techniques not only fulfill the need …
  pubmed Lin SH, Wang JY, Hua X 2025 Jun 18 置信度 0.96 electrical engineering, electronic engineering, information engineeringinformation theorysignal processingcs.itcomputer and information sciences
• Entropy-Based Age-Aware Scheduling Strategy for UAV-Assisted IoT Data Transmission.
  This paper investigates data transmission in an Internet of Things (IoT) network, where multiple devices send environmental data to a remote base station through an unmanned aerial vehicle (UAV) relay. The UAV serves as an airborne intermediary that collects s…
  pubmed Jing L, Wang H, Qin Z, Zhu P 2025 May 29 置信度 0.96 computer and information scienceselectrical engineering, electronic engineering, information engineeringinternet of thingscomputer sciencesystems and control
• Enhanced hermit crabs detection using super-resolution reconstruction and improved YOLOv8 on UAV-captured imagery.
  Hermit crabs are vital to coastal ecosystems, serving as environmental health indicators and contributing to seed dispersal, debris cleanup, and soil disturbance. Traditional hermit crabs survey methods, like quadrat sampling, are labor-intensive and environme…
  pubmed Zhao F, Chen Y, Xi D, Liu Y 等 2025 Sep 置信度 0.96 computer and information scienceselectrical engineering, electronic engineering, information engineeringsignal processingcs.cveess.iv
• Design and comparative analysis of laser-based array systems for UAV detection in surveillance zones.
  Identifying unmanned aerial vehicles (UAVs) is critical to protecting vital locations and infrastructures from potential attacks. The literature suggests a variety of detection methods, including conventional radar systems, acoustic detection, radio frequency …
  pubmed Salhi M, Sliti M, Boudriga N, Elfikky A 等 2025 置信度 0.96 computer and information sciencesphysical scienceselectrical engineering, electronic engineering, information engineeringcomputer sciencerobotics
• An Enhanced Artificial Lemming Algorithm and Its Application in UAV Path Planning.
  This paper presents an enhanced artificial lemming algorithm (EALA) for solving complex unmanned aircraft system (UAV) path planning problems in three-dimensional environments. Key improvements include chaotic initialization, adaptive perturbation, and hybrid …
  pubmed Zhu X, Jia C, Zhao J, Xia C 等 2025 置信度 0.96 computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringroboticssystems and control
• The Conceptual Design of a Variable Camber Wing.
  The variable camber wing (VCW) is a morphing wing design anticipated to enhance unmanned aerial vehicles' (UAVs') performance in flight through continuously changing shape. The performance of VCWs has been proven, but techniques for their integration, includin…
  pubmed Cortez STP, Winyangkul S, Sleesongsom S 2025 Jun 1 置信度 0.96 engineeringcomputer and information sciencescomputer sciencesoft roboticsrobotics
• Accurate estimation of aboveground biomass in Moso bamboo (Phyllostachys edulis) forests under Pantana phyllostachysae Chao stress using UAV multispectral remote sensing and self-establish allometric equations.
  Moso bamboo (Phyllostachys edulis) plays a pivotal role in the global carbon cycle because of its rapid growth and significant ecological benefits. Accurate estimation of its aboveground biomass (AGB) is therefore essential for effective carbon management. How…
  pubmed He A, Xu Z, Li G, Chen L 等 2025 Oct 置信度 0.96 environmental sciencenatural resource economicscarbon sequestrationchinacarbon fibers
• Soybean (Glycine max L.) canopy response to simulated dicamba vapor drift using unmanned aerial sensing.
  Concerns about off-target dicamba exposure to sensitive vegetation have escalated following the commercialization of dicamba-tolerant (DT) soybean [Glycine max (L.) Merr.] and cotton (Gossypium hirsutum L.) The spectral response of plant injury at the field sc…
  pubmed Kerr DR, Hager AG, Allen D, Leakey ADB 等 2025 Oct 置信度 0.96 consciousnessai governanceai safetyremote sensinginstrumentation and methods for astrophysics
• Tracking the spatial and temporal evolution of salt marsh vegetation based on UAV sampling and seasonal phenology from Landsat data.
  Salt marshes, valued for their ecological importance, have been increasingly degraded in recent decades. Preserving salt marshes necessitates a critical approach that involves monitoring vegetation distribution and species composition. This study presents a hi…
  pubmed Chen K, Xu J, Chang L, Luo Q 等 2025 Aug 置信度 0.96 artificial intelligenceenvironmental sciencecomputer and information sciencesengineeringcomputer science
• Instant Energy Barrier Modulation in Bistable Robotic Grippers for Compliant Triggering and Powerful Grasping.
  Bistable structures, which leverage mechanical instability, have emerged as a promising paradigm in the development of robotic grippers, providing advantages including rapid response and low energy consumption. A critical limitation of existing bistable grippe…
  pubmed Zhang J, Yang H, He C, Ma H 等 2025 置信度 0.96 roboticscomputer and information sciencessoft roboticsmaterials sciencerobot
• Airborne concentration and canopy distribution of microencapsulated pheromone formulation applied with drone and terrestrial sprayers in vineyards.
  Mating disruption is a highly effective pest control technique without the negative impacts of most chemical plant protection products. Traditionally, this control method has been implemented using passive dispensers that release the synthetic sex pheromone of…
  pubmed Gavara A, Fonte A, Vacas S, Garcerá C 等 2025 Oct 置信度 0.96 remote sensingnanotechnologycomputer vision and pattern recognitionelectrical engineering, electronic engineering, information engineeringbrain-computer interface
• Application of UAV remote sensing for vegetation identification: a review and meta-analysis.
  Green vegetation is an essential part of natural resources and is vital to the ecosystem. Simultaneously, with improving people's living standards, food security and the supply of forage resources have become increasingly the focus of attention. Therefore, tim…
  pubmed Chang B, Li F, Hu Y, Yin H 等 2025 置信度 0.96 remote sensingbiological sciences not elsewhere classifiedelectrical engineering, electronic engineering, information engineeringspace sciencecomputer science
• TLSNet: A semantic segmentation method for key point cloud regions of transmission lines.
  To address the limitations of current transmission line point cloud segmentation algorithms in accurately segmenting fine-grained structures, this paper proposes a model named TLSNet. The network addresses the issue of uneven point cloud distribution through a…
  pubmed Pei S, Sun H, Hu C, Wang W 等 2025 Jun 20 置信度 0.96 electrical engineering, electronic engineering, information engineeringcomputer sciencecomputer and information sciencessignal processingcs.ro
• Experimental Study of Comprehensive Performance Analysis Regarding the Dynamical/Mechanical Aspects of 3D-Printed UAV Propellers and Sound Footprint.
  The present study evaluates the viability of fabricating unmanned aerial vehicle (UAV) propellers using fused filament fabrication (FFF), with an emphasis on low-cost, desktop-scale production. The study's backdrop is the recent adoption of UAVs and advancemen…
  pubmed Popișter F 2025 May 25 置信度 0.96 engineeringmaterials sciencecomputer sciencemedicinebiological sciences not elsewhere classified
• Reducing energy and environmental footprint in agriculture: A study on drone spraying vs. conventional methods.
  Agricultural practices significantly contribute to resource depletion and greenhouse gas emissions, underscoring the urgent need for environmental sustainability in this sector. This research assesses the energy efficiency and environmental impacts of Unmanned…
  pubmed Safaeinejad M, Ghasemi-Nejad-Raeini M, Taki M 2025 置信度 0.96 environmental sciencesustainabilitygreenhouse gasbusinessrenewable energy
• UAV-based aerial imaging and path optimization to combat mosquito-borne diseases.
  The Aedes aegypti mosquito is the cause of the transmission of diseases such as Dengue, Chikungunya, Yellow fever, and Zika. Dengue is a viral illness and currently, there is no specific treatment for the disease. The best possible way to prevent this disease …
  pubmed Bapireddygari H, V MA 2025 Jul-Sep 置信度 0.96 computer vision and pattern recognitioncomputer and information scienceselectrical engineering, electronic engineering, information engineeringeess.spsystems and control
• Detection of pine wood nematode infections in Chinese pine (Pinus tabuliformis) using hyperspectral drone images.
  The pine wood nematode (PWN) has caused tremendous damage to pine forests in China. Accurately predicting the infestation stage of PWN is crucial for implementing appropriate management, such as chemically controlling early-infested trees and felling and remov…
  pubmed Yu R, Liu Y, Gao B, Ren L 等 2025 Sep 置信度 0.96 deep learningbiological sciences not elsewhere classifiedcs.cvcomputer and information sciencesremote sensing
• Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods.
  Verticillium wilt is a severe soil-borne disease that affects cotton growth and yield. Traditional monitoring methods, which rely on manual investigation, are inefficient and impractical for large-scale applications. This study introduces a novel approach comb…
  pubmed Li W, Liu L, Li J, Yang W 等 2025 置信度 0.86 cs.lgcancerconvolutional neural networkbiological sciences not elsewhere classifiedscale
• Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach.
  This study presents a novel approach for optimizing UAV (unmanned aerial vehicle) Multicircular flight control by developing a fractional order proportional integral derivative (FOPID)-based hybrid Eagle strategy particle swarm optimization ant lion optimizer …
  pubmed Basil N, Marhoon HM, Sabbar BM, Mohammed AF 等 2025 May 30 置信度 0.96 computer sciencecomputer and information scienceselectrical engineering, electronic engineering, information engineeringeess.sycontrol theory
• Bioinspired drone rotors for reduced aeroacoustic noise and improved efficiency.
  The application of unmanned aerial vehicles (UAVs) is surging across several industries, paralleled by growing demand for these UAVs. However, the noise emitted by UAVs remains a significant impediment to their widespread use even though in areas such as produ…
  pubmed Prakhar S, Seo JH, Mittal R 2025 Jun 9 置信度 0.96 systems and controlelectrical engineering, electronic engineering, information engineeringroboticsmathematicseess.sp
• Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning.
  With the increasing mining depth, the stability of open-pit mine slopes has become an increasingly important concern. This study focuses on an open-pit mine in Southwest China and utilizes unmanned aerial vehicle (UAV) technology to gather data from these high…
  pubmed Qing L, Xu L, Huang J, Fu X 等 2025 May 15 置信度 0.96 computer sciencecomputer and information sciencescs.lgelectrical engineering, electronic engineering, information engineeringprocess
• Comparative Assessment of Neural Radiance Fields and 3D Gaussian Splatting for Point Cloud Generation from UAV Imagery.
  Point clouds continue to be the main data source in 3D modeling studies with unmanned aerial vehicle (UAV) images. Structure-from-Motion (SfM) and MultiView Stereo (MVS) have high time costs for point cloud generation, especially in large data sets. For this r…
  pubmed Atik ME 2025 May 9 置信度 0.96 computer scienceartificial intelligencecs.lgcomputer and information sciencesartificial neural network
• Effects of solar elevation angle on the visible light vegetation index of a cotton field when extracted from the UAV.
  The visible light vegetation indices (VIs) derived from the red, green, and blue spectral bands of UAV (unmanned aerial vehicle) imagery play a vital role in precision agriculture applications. Nevertheless, the effects of solar elevation angle variations acro…
  pubmed Li J, Wu W, Zhao C, Bai X 等 2025 May 27 置信度 0.96 materials scienceastro-ph.srgeologyquantum dotenvironmental science
• Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm.
  The Black-winged Kite Optimization Algorithm (BKA) is likely to experience a sluggish convergence rate when confronted with the optimization of complex multimodal functions. The fundamental algorithm has a tendency to get stuck in local optima, thus rendering …
  pubmed Wang S, Xu B, Zheng Y, Yue Y 等 2025 May 11 置信度 0.96 computer and information sciencescomputer sciencemath.ocreinforcement learningelectrical engineering, electronic engineering, information engineering
• Bio-Inspired Swarm Confrontation Algorithm for Complex Hilly Terrains.
  This paper explores a bio-inspired swarm confrontation algorithm specifically designed for complex hilly terrains in the context of electronic games. The novelty of the proposed algorithm lies in its utilization of biologically inspired strategies to facilitat…
  pubmed Cai H, Ma F, Ni R, Xu W 等 2025 Apr 22 置信度 0.96 computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringartificial intelligencecs.ai
• MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L.
  Recent advancements in computer vision and deep learning have advanced automated vegetation monitoring, creating new opportunities for invasive species management. To this end, we introduce MAVSD (Multi-Angle View Segmentation Dataset), specifically designed f…
  pubmed Li H, Fu T, Hao H, Yu Z 2025 May 24 置信度 0.96 computer and information sciencesremote sensingcs.cvcomputer vision and pattern recognitionelectrical engineering, electronic engineering, information engineering
• Monitoring oil spill thickness and weathering using UAV-borne hyperspectral sensing.
  Remote sensing plays a crucial role in the detection and monitoring of oil spills at sea, aiding in emergency response planning and monitoring routines. Despite significant progress in this field, estimating oil thickness remains challenging, impacting respons…
  pubmed Scafutto RDM, Lassalle G, Alves MN, Miranda LP 等 2025 Sep 置信度 0.96 computer scienceremote sensingcomputer and information sciencespetroleum engineeringenvironmental science
• Agile DQN: adaptive deep recurrent attention reinforcement learning for autonomous UAV obstacle avoidance.
  Unmanned Aerial Vehicle (UAV) obstacle avoidance in 3D environments demands sophisticated handling of high-dimensional inputs and effective state representations. Current Deep Reinforcement Learning (DRL) algorithms struggle to prioritize salient aspects of st…
  pubmed AlMahamid F, Grolinger K 2025 May 23 置信度 0.96 computer and information sciencescomputer scienceartificial intelligenceroboticsreinforcement learning
• Mapping open dumps and waste dynamics in a subtropical ecoregion of Argentina.
  The proliferation of plastic waste since the 20th century has exacerbated pollution problems despite technological advances in waste management. In Argentina, 35% of municipal solid waste is discarded in untreated open dumps, causing environmental and public h…
  pubmed Malizia A, Galindo-Cardona A, Matias E, Gallardo García Freire P 等 2025 May 23 置信度 0.96 medicineenvironmental scienceecologysustainabilitybiological sciences not elsewhere classified
• Integrating UAV multispectral imaging and proximal sensing for high-precision cereal crop monitoring.
  Multispectral optical data significantly enhances cereal crop monitoring by enabling precise tracking of growth stages, early detection of germination issues, and assessment of plant health. This study evaluates the potential of integrating UAV multispectral s…
  pubmed Grbović Ž, Ivošević B, Budjen M, Waqar R 等 2025 置信度 0.96 computer sciencebiotechnologyelectrical engineering, electronic engineering, information engineeringcomputer and information sciencesremote sensing
• Path planning algorithm for logistics autonomous vehicles at Cainiao stations based on multi-sensor data fusion.
  Efficient path planning and obstacle avoidance in a complex and dynamic environment is one of the key challenges of unmanned vehicle logistics distribution, especially in the logistics scene of Cainiao Station, which involves crowded communities and dynamic ca…
  pubmed Chen Y 2025 置信度 0.96 computer sciencecomputer and information scienceselectrical engineering, electronic engineering, information engineeringroboticscs.ro
• Intelligent extraction of urban ventilation corridors based on region growth algorithm with restricted direction.
  Rapid urban developments have resulted in numerous environmental challenges, including severe air quality and heat island effect problems. The construction of urban ventilation corridors provides an effective solution for enhancing air circulation and reducing…
  pubmed Zhao C 2025 May 15 置信度 0.96 electrical engineering, electronic engineering, information engineeringenvironmental scienceecologyremote sensingchina
• [Application of multi-rotor UAV-borne flux observation system in carbon dioxide flux monitoring of reed wetland].
  The accurate monitoring of ecosystem carbon flux is the key to scientific assessment of terrestrial carbon sequestration. There is a big challenge for the tower-based eddy covariance system to cover multiple ecosystem types in a region. We introduced a multi-r…
  pubmed Jiang XW, Zhou GS, Song XY 2025 Apr 置信度 0.91 remote sensingclimatologyastrophysicsphysics.geo-phoceanography
• OE-YOLO: An EfficientNet-Based YOLO Network for Rice Panicle Detection.
  Accurately detecting rice panicles in complex field environments remains challenging due to their small size, dense distribution, diverse growth directions, and easy confusion with the background. To accurately detect rice panicles, this study proposes OE-YOLO…
  pubmed Wu H, Guan M, Chen J, Pan Y 等 2025 Apr 30 置信度 0.96 computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringphysical sciencesmaterials science
• 3D Reconstruction and Large-Scale Detection of Roads Based on UAV Imagery.
  Accurate and efficient detection of road damage is crucial in traffic safety and maintenance management. Traditional road detection methods have problems such as low efficiency and insufficient accuracy, making it difficult to meet the needs of large-scale roa…
  pubmed Zhang X, Cheng S, Wang P, Zheng H 等 2025 May 6 置信度 0.96 computer scienceelectrical engineering, electronic engineering, information engineeringcomputer and information sciencescomputer vision and pattern recognitionartificial intelligence
• Design and Construction of UAV-Based Measurement System for Water Hyperspectral Remote-Sensing Reflectance.
  Acquiring a large number of in situ water spectral measurements is fundamental for constructing water color remote-sensing retrieval models and validating the accuracy of water color remote-sensing products. However, traditional manual site-based water spectra…
  pubmed Zeng H, He X, Bai Y, Gong F 等 2025 May 2 置信度 0.96 remote sensingcomputer and information sciencesphysical sciencesearth and planetary astrophysicsinstrumentation and methods for astrophysics
• Efficient Multi-Target Localization Using Dynamic UAV Clusters.
  This paper proposes a dynamic unmanned aerial vehicle (UAV) clustering model for multi-target localization in complex 3D environments, where mobility-aware cluster formation is integrated to enhance collaborative localization accuracy. We derive the Cramé…
  pubmed Gong W, Lou S, Deng L, Yi P 等 2025 置信度 0.96 computer and information scienceselectrical engineering, electronic engineering, information engineeringsignal processingcs.rocs.lg
• Mature Rice Biomass Estimation Using UAV-Derived RGB Vegetation Indices and Growth Parameters.
  The biomass of rice at maturity serves as a vital indicator for assessing overall productivity, and its accurate estimation holds significant importance for ensuring food security and promoting sustainable agriculture. To improve the precision of current bioma…
  pubmed Liao M, Wang Y, Chu N, Li S 等 2025 Apr 29 置信度 0.91 biotechnologyenvironmental sciencebiomassecologybiological sciences not elsewhere classified
• A New Hybrid Reinforcement Learning with Artificial Potential Field Method for UAV Target Search.
  Autonomous navigation and target search for unmanned aerial vehicles (UAVs) have extensive application potential in search and rescue, surveillance, and environmental monitoring. Reinforcement learning (RL) has demonstrated excellent performance in real-time U…
  pubmed Jin F, Ye Z, Li M, Xiao H 等 2025 Apr 29 置信度 0.96 computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringreinforcement learningcs.lg