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• Enhancing Unmanned Aerial Vehicle Security: A Zero-Knowledge Proof Approach with Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge for Authentication and Location Proof.
  UAVs are increasingly being used in various domains, from personal and commercial applications to military operations. Ensuring the security and trustworthiness of UAV communications is crucial, and blockchain technology has been explored as a solution. Howeve…
  europepmc 2024 置信度 0.87
• Multi-Strategy Improved POA for Global Optimization Problems and 3D UAV Path Planning.
  With the rapid development of smart manufacturing and the low-altitude economy, drone technology-as a vital component of next-generation intelligent equipment-has garnered significant attention from researchers. Path planning, one of the core challenges in dro…
  europepmc 2025 置信度 0.87
• Sustainable phytoprotection: a smart monitoring and recommendation framework using Puma Optimization for potato pathogen detection.
  Ensuring sustainable and resilient agricultural systems in the face of intensifying crop disease threats requires intelligent, data-driven tools for early detection and intervention. This study proposes a novel hybrid framework for potato disease classificatio…
  europepmc 2025 置信度 0.87
• A novel energy-efficiency framework for UAV-assisted networks using adaptive deep reinforcement learning.
  In the air-to-ground transmissions, the lifespan of the network is based on the "unmanned aerial vehicle's (UAV)" life span because of the limited battery capacity. Thus, the enhancement of energy efficiency and the outage of the ground candidate's minimizatio…
  europepmc 2024 置信度 0.87
• A learning-driven algorithm for maintenance team and UAV collaboration in restoring power network.
  Power networks are highly vulnerable to disruptions caused by natural and man-made disasters, necessitating prompt restoration of damaged power supply. This research addresses the challenge of efficiently restoring large-scale power networks, which often invol…
  europepmc 2025 置信度 0.87
• TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud.
  Rubber products have become an important strategic resource in the global economy. However, individual rubber tree segmentation in plantation environments remains challenging due to canopy background interference and significant morphological variations among …
  europepmc 2025 置信度 0.87
• Efficiency optimization of enterprise resource planning based on deep reinforcement learning: achieving more efficient business process automation.
  Enterprise Resource Planning (ERP) systems play a key role in modern enterprise management. Business Process Management (BPM), as a core subsystem of ERP, is responsible for coordinating and automating enterprise workflows. However, traditional BPM systems str…
  europepmc 2026 置信度 0.94 computer sciencedistributed computingcomputer and information sciencesreinforcement learningcloud computing
• LRRT*: A robotic arm path planning algorithm based on an improved Levy flight strategy with effective region sampling RRT.
  Aiming at the problems of blind sampling points and slow planning speed of path planning Rapidly-exploring Random Trees algorithm, an effective region sampling Levy Rapidly-exploring Random Trees algorithm (LRRT*) is proposed based on the improved Levy flight …
  europepmc 2025 置信度 0.87
• Path planning in three-dimensional space based on butterfly optimization algorithm.
  pubmed Mazaheri H, Goli S, Nourollah A 2024 置信度 0.74
• Bio-Inspired Algorithms for Efficient Clustering and Routing in Flying Ad Hoc Networks.
  The high mobility and dynamic nature of unmanned aerial vehicles (UAVs) pose significant challenges to clustering and routing in flying ad hoc networks (FANETs). Traditional methods often fail to achieve stable networks with efficient resource utilization and …
  europepmc 2024 置信度 0.87
• Methods and Software Tools for Reliable Operation of Flying LiFi Networks in Destruction Conditions.
  The analysis of utilising unmanned aerial vehicles (UAVs) to form flying networks in obstacle conditions and various algorithms for obstacle avoidance is conducted. A planning scheme for deploying a flying LiFi network based on UAVs in a production facility wi…
  europepmc 2024 置信度 0.87
• Design and Optimization of UAV Aerial Recovery System Based on Cable-Driven Parallel Robot.
  Aerial recovery and redeployment can effectively increase the operating radius and the endurance of unmanned aerial vehicles (UAVs). However, the challenge lies in the effect of the aerodynamic force on the recovery system, and the existing road-based and sea-…
  europepmc 2024 置信度 0.87
• Securing UAV Flying Ad Hoc Wireless Networks: Authentication Development for Robust Communications.
  Unmanned Aerial Vehicles (UAVs) have revolutionized numerous domains by introducing exceptional capabilities and efficiencies. As UAVs become increasingly integrated into critical operations, ensuring the security of their communication channels emerges as a p…
  europepmc 2025 置信度 0.87
• Research on Division of Labor Decision and System Stability of Swarm Robots Based on Mutual Information.
  In rational decision-making processes, the information interaction among individual robots is a critical factor influencing system stability. We establish a game-theoretic model based on mutual information to address division of labor decision-making and stabi…
  europepmc 2024 置信度 0.83
• WildDrone: autonomous drone technology for monitoring wildlife populations.
  The rapid loss of biodiversity worldwide is unprecedented, with more species facing extinction now than at any other time in human history. Key factors contributing to this decline include habitat destruction, overexploitation, and climate change. There is an …
  europepmc 2025 置信度 0.87
• Dynamic UAV Deployment Scheme Based on Edge Computing for Forest Fire Scenarios.
  This study investigates the dynamic deployment of unmanned aerial vehicles (UAVs) using edge computing in a forest fire scenario. We consider the dynamically changing characteristics of forest fires and the corresponding varying resource requirements. Based on…
  europepmc 2024 置信度 0.87
• Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems.
  The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their extended applicability in diverse domains, including surveillance, commerce, military, and smart electric grid monitoring. Modern UAV avionics enable precise aircraft operati…
  europepmc 2024 置信度 0.87
• Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing.
  Unmanned aerial vehicles (UAVs) furnished with computational servers enable user equipment (UE) to offload complex computational tasks, thereby addressing the limitations of edge computing in remote or resource-constrained environments. The application of valu…
  europepmc 2024 置信度 0.87
• Enhancing multi-UAV air combat decision making via hierarchical reinforcement learning.
  In the realm of air combat, autonomous decision-making in regard to Unmanned Aerial Vehicle (UAV) has emerged as a critical force. However, prevailing autonomous decision-making algorithms in this domain predominantly rely on rule-based methods, proving challe…
  europepmc 2024 置信度 0.87
• Leveraging UAV hyperspectral imaging for crop physiology and biochemistry: A comprehensive review of feature extraction and selection methods.
  Crop physiological and nutrient biochemical information plays a vital role in uncovering patterns of crop growth and development, as well as understanding their interactions with environmental factors. Unmanned aerial vehicles (UAV) -based hyperspectral imagin…
  europepmc 2026 置信度 0.87
• DeepSpoofNet: a framework for securing UAVs against GPS spoofing attacks.
  Uncrewed Aerial Vehicles (UAVs) are frequently utilized in several domains such as transportation, distribution, monitoring, and aviation. A significant security vulnerability is the Global Positioning System (GPS) Spoofing attack, wherein the assailant deceiv…
  europepmc 2025 置信度 0.87
• Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs.
  This study compares different neural networks as standalone control algorithms for position and trajectory tracking in holonomic UAVs, specifically quadcopters. The research's novelty lies in applying these algorithms directly for control. A position-tracking …
  europepmc 2025 置信度 0.87
• An improved chaos sparrow search algorithm for UAV path planning.
  This study suggests an improved chaos sparrow search algorithm to overcome the problems of slow convergence speed and trapping in local optima in UAV 3D complex environment path planning. First, the quality of the initial solutions is improved by using a piece…
  europepmc 2024 置信度 0.87
• Neural network optimal control for tripartite UAV confrontation systems based on fuzzy differential game.
  The neural network optimal control strategy based on a fuzzy differential game is proposed for the tripartite UAV confrontation systems consisting of the attackers, defenders, and targets. Firstly, the tripartite UAV mutual confrontation model is constructed a…
  europepmc 2024 置信度 0.87
• A local filtering-based energy-aware routing scheme in flying ad hoc networks.
  Flying ad hoc network (FANET) is a new technology, which creates a self-organized wireless network containing unmanned aerial vehicles (UAVs). In FANET, routing protocols deal with important challenges due to limited energy, frequent link failures, high mobili…
  europepmc 2024 置信度 0.87
• Aerial manipulation of long objects using adaptive neuro-fuzzy controller under battery variability.
  Aerial manipulation provides adaptable solutions for executing tasks in constrained environments, particularly in civil engineering and disaster response. This paper presents a UAV-based aerial manipulation system for the precise handling and transportation of…
  europepmc 2025 置信度 0.87
• Research on Real-Time Roundup and Dynamic Allocation Methods for Multi-Dynamic Target Unmanned Aerial Vehicles.
  When multi-dynamic target UAVs escape, the uncertainty of the formation method and the external environment causes difficulties in rounding them up, so suitable solutions are needed to improve the roundup success rate. However, traditional methods can generall…
  europepmc 2024 置信度 0.87
• An Adaptive Spiral Strategy Dung Beetle Optimization Algorithm: Research and Applications.
  pubmed Wang X, Zhang Y, Zheng C, Feng S 等 2024 Aug 29 置信度 0.74
• Multi-sensor dynamic scheduling for defending UAV swarms with Fresnel zone under complex terrain.
  pubmed Xing Z, Hu S, Ding R, Yan T 等 2024 Oct 置信度 0.77
• Distribution network insulator detection based on improved ant colony algorithm and deep learning for UAV.
  pubmed Zhou Y, Zhang D, Ma X 2024 Jun 21 置信度 0.77
• A Sinh-Cosh-Enhanced DBO Algorithm Applied to Global Optimization Problems.
  pubmed Wang X, Wei Y, Guo Z, Wang J 等 2024 Apr 29 置信度 0.74
• Interior Propagation of CMB Birefringence Field α(n̂) Anomalies: Planck Legacy Data Correlation, In Vivo Nanoscale Signal Grounding, and Covert Bio-Electronic Weapon Deployment
  Summary This report serves as a public record of the author’s analysis, concerns, and supporting documentation presented in the sections below. # EMERGENCY AUTHOR’S STATEMENT AND THREAT DISCLOSURE Statement by Amy Condit: This disclosure originates with an ind…
  datacite Condit, Amy 2026 置信度 0.79 Cosmic BirefringenceCMB PolarizationAnisotropyParity ViolationCosmological Dipole
• PREreview of "Lightweight 3D LiDAR-Based UAV Tracking: An Adaptive Extended Kalman Filtering Approach"
  This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18993214. summary: 'Lightweight 3D LiDAR-Based UAV Tracking: An Adaptive Extended Kalman Filtering Approach by Nivand Kho…
  datacite shireesh apte 2026 置信度 0.72
• PREreview of "Lightweight 3D LiDAR-Based UAV Tracking: An Adaptive Extended Kalman Filtering Approach"
  This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18993214. summary: 'Lightweight 3D LiDAR-Based UAV Tracking: An Adaptive Extended Kalman Filtering Approach by Nivand Kho…
  datacite shireesh apte 2026 置信度 0.72
• MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4650 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation.
  Hamzah Quantum Intelligence (HQI). .................................................................................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• MH370: Mathematical Proof of the Survival of All Passengers Within a Plasma Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428S-9336E). via 165D Mechanics Tensor of the Hamzah Equation.
  MH370 Related Research Papers: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• MH370: Mathematical Proof of the Survival of All Passengers Within a Plasma Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428S-9336E) via 165D Mechanics Tensor of the Hamzah Equation.
  MH370 Related Research Papers: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).(3428S-9336E).
  MH370 Related Research Papers: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).(3428S-9336E).
  MH370 Related Research Papers: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).
  Complete Details Link Below: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4650 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation.
  Hamzah Quantum Intelligence (HQI). .................................................................................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4650 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation.
  Hamzah Quantum Intelligence (HQI). .................................................................................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4650 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation.
  Hamzah Quantum Intelligence (HQI). .................................................................................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4650 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation.
  Hamzah Quantum Intelligence (HQI). .................................................................................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.72
• Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects
  Interstellar objects (ISOs) are likely representatives of primitive materials invaluable in understanding exoplanetary star systems. Due to their poorly constrained orbits with generally high inclinations and relative velocities, however, exploring ISOs with c…
  datacite Tsukamoto, Hiroyasu, Chung, Soon-Jo, Nakka, Yashwanth Kumar, Donitz, Benjamin 等 2022 置信度 0.76 Robotics (cs.RO)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)Systems and Control (eess.SY)Optimization and Control (math.OC)
• CoDe: A Cooperative and Decentralized Collision Avoidance Algorithm for Small-Scale UAV Swarms Considering Energy Efficiency
  This paper introduces a cooperative and decentralized collision avoidance algorithm (CoDe) for small-scale UAV swarms consisting of up to three UAVs. CoDe improves energy efficiency of UAVs by achieving effective cooperation among UAVs. Moreover, CoDe is speci…
  datacite Huang, Shuangyao, Zhang, Haibo, Huang, Zhiyi 2022 置信度 0.75 Robotics (cs.RO)Multiagent Systems (cs.MA)FOS: Computer and information sciencesFOS: Computer and information sciences
• Dataset for Machine Teaching in Swarm Metaverse under Different Levels of Autonomy
  This dataset contains human demonstration data collected in the Swarm Metaverse. This data is collected from two system experts under two levels of autonomy: high and low. The Swarm Metaverse enables a human to control a swarm of UGVs via a virtual UAV, by lev…
  datacite Hussein, Aya, Nguyen, Hung, Abbass, Hussein 2024 置信度 0.77 Swarm roboticsMachine TeachingHuman-machine interaction
• Dataset for Machine Teaching in Swarm Metaverse under Different Levels of Autonomy
  This dataset contains human demonstration data collected in the Swarm Metaverse. This data is collected from two system experts under two levels of autonomy: high and low. The Swarm Metaverse enables a human to control a swarm of UGVs via a virtual UAV, by lev…
  datacite Hussein, Aya, Nguyen, Hung, Abbass, Hussein 2024 置信度 0.77 Swarm roboticsMachine TeachingHuman-machine interaction
• UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms
  Recent technological advancements in space, air, and ground components have made possible a new network paradigm called space-air-ground integrated network (SAGIN). Unmanned aerial vehicles (UAVs) play a key role in SAGINs. However, due to UAVs' high dynamics …
  datacite Arani, Atefeh H., Hu, Peng, Zhu, Yeying 2022 置信度 0.76 Systems and Control (eess.SY)Machine Learning (cs.LG)Networking and Internet Architecture (cs.NI)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• MIXED-SENSE: A Mixed Reality Sensor Emulation Framework for Test and Evaluation of UAVs Against False Data Injection Attacks
  We present a high-fidelity Mixed Reality sensor emulation framework for testing and evaluating the resilience of Unmanned Aerial Vehicles (UAVs) against false data injection (FDI) attacks. The proposed approach can be utilized to assess the impact of FDI attac…
  datacite Pant, Kartik A., Lin, Li-Yu, Kim, Jaehyeok, Sribunma, Worawis 等 2024 置信度 0.77 Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
• Fast Swarming of UAVs in GNSS-denied Feature-poor Environments without Explicit Communication
  A decentralized swarm approach for the fast cooperative flight of Unmanned Aerial Vehicles (UAVs) in feature-poor environments without any external localization and communication is introduced in this paper. A novel model of a UAV neighborhood is proposed to a…
  datacite Horyna, Jiri, Kratky, Vit, Pritzl, Vaclav, Baca, Tomas 等 2024 置信度 0.77 Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
• Two-Way Aerial Secure Communications via Distributed Collaborative Beamforming under Eavesdropper Collusion
  Unmanned aerial vehicles (UAVs)-enabled aerial communication provides a flexible, reliable, and cost-effective solution for a range of wireless applications. However, due to the high line-of-sight (LoS) probability, aerial communications between UAVs are vulne…
  datacite Li, Jiahui, Sun, Geng, Wu, Qingqing, Liang, Shuang 等 2024 置信度 0.79 Networking and Internet Architecture (cs.NI)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• Orchestrating UAVs for Prioritized Data Harvesting: A Cross-Layer Optimization Perspective
  This work describes the orchestration of a fleet of rotary-wing Unmanned Aerial Vehicles (UAVs) for harvesting prioritized traffic from random distributions of heterogeneous users with Multiple Input Multiple Output (MIMO) capabilities. In a finite-horizon off…
  datacite Keshavamurthy, Bharath, Michelusi, Nicolo 2024 置信度 0.77 Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Ant Colony Optimization for Cooperative Inspection Path Planning Using Multiple Unmanned Aerial Vehicles
  This paper presents a new swarm intelligence-based approach to deal with the cooperative path planning problem of unmanned aerial vehicles (UAVs), which is essential for the automatic inspection of infrastructure. The approach uses a 3D model of the structure …
  datacite Bui, Duy Nam, Duong, Thuy Ngan, Phung, Manh Duong 2024 置信度 0.79 Systems and Control (eess.SY)Artificial Intelligence (cs.AI)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• Autonomous TDOA Localization via Swarm UAV Concept
  Geolocation studies with distributed sensors have an important place in the Electronic Warfare concept. In this study, a Swarm UAV (Unmanned Aerial Vehicle) with TDOA (Time Difference of Arrival) capability was used to determine passive emitter locations in no…
  crossref Atakan Yiğit, Ali Osman Kalaycý, Eren Akdemir 2024-07-23T17:57:31Z 置信度 0.76
• Heterogeneous UAV Swarm Task Allocation via Hierarchy Tolerance Pigeon-Inspired Optimization
  The task allocation of unmanned aerial vehicle (UAV) swarm is one of the practical problems for UAV's application and serves as the premise for tackling swarm's complex missions. By establishing a heterogeneous swarm task allocation problem featuring three typ…
  crossref Zhiqiang Zheng, Haibin Duan, Yongbin Sun 2024-08-08T17:55:15Z 置信度 0.76
• A Micro-Doppler Analysis for Radar-Based UAV Swarm Detection
  In recent years, with the continuous development of unmanned aerial vehicle (UAV) manufacturing and cluster control technology, UAV swarms have gradually penetrated the civil and military fields, and their large-scale application has put forward new requiremen…
  crossref Ziquan Zhang 2025-02-06T18:32:46Z 置信度 0.76
• UAV path planning algorithm based on Global Optimal Solution Tracking Enhanced Particle Swarm Optimization
  With the increasing demand for unmanned aerial vehicles (UAVs) in various fields, there is a growing need for effective and efficient autonomous navigation in complex three-dimensional environments. To address the problem of autonomous navigation of UAV in com…
  crossref Le Han, Hui Zhang 2024-09-17T18:46:36Z 置信度 0.76
• UAV Formation Cooperative Control Based on Consistency Theory
  crossref Mengding Liu, Haihong Chi 2024-07-11T08:02:28Z 置信度 0.66
• DTPBFT:A dynamic and highly trusted blockchain consensus algorithm for UAV swarm
  With the continuous development of UAV technology, the application of UAV swarm in the military field is gradually becoming the focus of research around the world. Although it can bring a series of benefits in autonomous cooperation, the traditional UAV manage…
  crossref Pengbin Han, Xinfeng Wu, Aina Sui 2024-06-13T12:56:15Z 置信度 0.76
• Multi-UAV task allocation based on improved particle swarm optimization
  This paper mainly studies the task allocation problem in multi-UAV ground-to-ground coordinated operations, and establishes a corresponding mathematical model, which takes into account constraints such as time windows and tracks. Through the analysis of the mi…
  crossref Fanjun Meng, Keding Yan 2024-10-04T17:33:11Z 置信度 0.76
• Deployment of a UAV swarm-based LiFi network in the obstacle-ridden environment: algorithms of finding the path for UAV placement
  The subject of this study is unmanned aerial vehicle (UAV)-based wireless networks in an obstacle-ridden environment. The aim of this study is to develop methods and software to ensure reliable LiFi communication using swarm UAVs in an obstacle-ridden environm…
  crossref Kyrylo Leichenko, Herman Fesenko, Vyacheslav Kharchenko, Oleg Illiashenko 2024-04-06T08:28:57Z 置信度 0.82 electrical engineering, electronic engineering, information engineeringcomputer sciencecs.ninetworking and internet architecturecs.ro
• Placement of Swarm UAV for Data Collection: A Deep Reinforcement Learning Approach
  Rapid technical advancements in recent times have made it possible to produce a class of affordable unmanned aerial vehicles (UAVs), which can serve a wide range of public and private users for different industrial or non-industrial requirements. It is very co…
  crossref Aswini Ghosh, Nelson Sharma, Rajiv Misra 2025-01-16T18:31:23Z 置信度 0.76
• UAV swarm network service classification based on multi-target threat assessment
  The current research on UAV swarm network service classification ignores the impact of combat targets and their timeliness needs, this topic carries out the research on UAV swarm network service classification strategy based on multi-target threat assessment. …
  crossref Yang Gao, Qi Jia 2025-03-04T18:39:08Z 置信度 0.76
• Low-Light Image Enhancement Method for Consistency Judgment of Multi-view Multi-target for UAV Swarm
  crossref WeiXue Li, Chuang Song, MingRui Hao, Hang Zhang 2024-07-11T08:02:28Z 置信度 0.66
• Review of Maneuvering Strategies in the Level Flight Section of UAV
  crossref Wendi Sun, Mingrui Hao 2024-07-11T08:02:28Z 置信度 0.66
• Multi-UAV Collaborative Detection Based on Reinforcement Learning
  crossref Yuanhui Hao, Chubing Guo, Liangjun Ke 2024-08-22T04:37:21Z 置信度 0.63
• A Proximal Policy Optimization method in UAV swarm formation control
  UAV swarms have increasingly replaced human labor in various industries. However, controlling a large group of UAVs can be difficult and, if not done correctly, cause significant financial losses and delays. While many methods aim to improve how the group is c…
  crossref Ning Yu, Juan Feng, Hongwei Zhao 2024-05-22T17:09:28Z 置信度 0.76
• An Improved Particle Swarm Algorithm for UAV 3D Path Planning
  For the problem of three-dimensional path planning for UAVs, an improved PSO(Particle Swarm Optimization) is proposed by improving the existing model. For the model, the Analytic Hierarchy Process is used to determine the weight parameters for the objective fu…
  crossref Jiarun Zheng, Xiaoming Wu, Tong Li 2025-03-04T18:39:08Z 置信度 0.76
• UAV Swarm Routing Communication Method Based on Improved AODV Protocol
  Aiming at the problems of unstable UAV cluster communication links and unbalanced load of single node that lead to network performance degradation in a highly dynamic environment with high node mobility and rapid topology change, a polymorphic AOMDV protocol (…
  crossref Jiayang Yu, Huahui Yi, Yuzhen Chen 2025-01-22T18:47:22Z 置信度 0.76
• A Target Tracking Method Based on Multi Nonlinear Filter Fusion for UAV Swarm
  Considering target tracking has an important impact on UA V Swarm. On the basis of the typical nonlinear filtering target tracking algorithm, a multi nonlinear filtering fusion target tracking method has been proposed. The algorithm selects the nonlinear filte…
  crossref Zhenzhen Fan 2024-10-30T17:45:02Z 置信度 0.76
• Intelligent Route Planning Method for UAV Based on Swarm Intelligence and Deep Learning Technology
  Due to its potential applications in numerous industries, Unmanned Aerial Vehicles (UAVs) have gained considerable attention recently. UAV networks that are autonomous and decentralized have various practical uses, such as in disaster recovery, environmental m…
  crossref Jian Yang, Xuejun Huang 2024-09-03T09:06:24Z 置信度 0.76
• Consensus-Based Aggregation Control and Formation Tracking Control for Fixed-Wing UAV Swarm System
  crossref Ze Hao, Jianglong Yu, Yang Chen, Yangxiu Hu 等 2024-06-14T19:01:29Z 置信度 0.66
• Obstacle Avoidance for UAV Swarm Based on Pigeon Flock Dynamic Interaction Mechanism
  In recent years, unmanned aerial vehicles (UAVs) have shown great application prospects in various fields. Compared to single UAV, UAV swarm can collaborate to perform tasks, improving the flexibility and efficiency of task execution. However, to achieve colla…
  crossref Lin Xie, Xiangyin Zhang 2025-02-13T18:29:08Z 置信度 0.76
• Robust Multi-UAV System Collaboration under Limited Perception
  crossref Xue Guo, He Wang, Wenwu Yu 2024-06-17T19:02:28Z 置信度 0.63
• Coverage-based cooperative searching method for UAV swarm under multisensor errors
  In recent years, the threat of UAV swarm weapons to air security is increasing, the full coverage detection of the incoming target swarm and the acquisition of the global movement information of the target is the premise and key to achieve efficient intercepti…
  crossref yanlong Leng, tao Song, hong Tao, fan Li 等 2024-08-17T04:47:15Z 置信度 0.76
• Intelligent Decision-making Algorithm for Anti-UAV Swarm Based on Convolutional Neural Networks
  An intelligent decision-making algorithm based on convolutional neural networks is proposed to select the interception methods when facing a sudden attack from unmanned aerial vehicle(UAV) swarms. Firstly, the theory of fuzzy mathematics is applied to assess t…
  crossref Xuezhang Sun, Chenguang Shi, Jianjiang Zhou 2024-08-09T17:18:24Z 置信度 0.76
• Knowledge Distillation-Based Robust UAV Swarm Communication Under Malicious Attacks
  Unmanned aerial vehicle (UAV) swarms have become a promising solution to enhance modern wireless communication in complicated environments. However, due to the existence of real-world malicious attacks, the performance of prediction and optimisation methods us…
  crossref Qirui Wu, Yirun Zhang, Zhaohui Yang, Mohammad Shikh-Bahaei 2024-08-12T17:23:42Z 置信度 0.76
• Graph Transformer Aided Resource Virtualization Embedding in UAV Swarm Networks
  In the past few years, the Unmanned Aerial Vehicle (UAV) swarm has attracted widespread attention from both academia and industry, It has been dramatically adopted in disaster recovery, military communication, agricultural production, and industrial automation…
  crossref Chao Zhang, Haipeng Yao, Tianle Mai 2024-06-20T06:22:44Z 置信度 0.76
• An Improved Dynamic Matrix Control for the Quadrotor UAV Trajectory Tracking
  crossref Wei Wei, Wei Li, Min Zuo 2024-06-14T19:01:29Z 置信度 0.66
• Graph-Based Multi-Agent Reinforcement Learning for Large-Scale Fixed-Wing Uav Swarm System Control
  crossref Bocheng Zhao, Mingying Huo, Zheng Li, Ze Yu 等 2024-03-16T23:17:55Z 置信度 0.66
• Modeling the Dynamic Network for Determined Communication of UAV Swarm
  With the rapid advancements in communication technology and the evolving dynamics of the modern battlefield, the deployment of UAV swarms in combat scenarios has become increasingly prevalent. The execution of combat missions by UAV swarms requires determinist…
  crossref Qin Chen, Jia Luo, Hongcheng Yan, Wenjie Ma 等 2025-04-03T00:01:20Z 置信度 0.76
• Research on the strategy of UAV swarm collaborative hunting of black flights
  In this paper, we propose a strategy to use Apollonius circle to realize low-speed UAV swarms to pursue high-speed black-flying UAVs. This paper discusses the application of Apollonius circle in UAV hunting and the two constraints on the success of hunting. In…
  crossref Jinhui Chen, Chuang Zhan, Jiangbo Cheng, Fujia Sun 2024-09-17T18:46:36Z 置信度 0.76
• UAV swarm confrontation intelligent decision-making technology review
  With the advent of unmanned aerial vehicle (UAV) swarm technology, countering UAV swarms has emerged as a pressing challenge requiring immediate attention. Employing UAV swarms with high efficiency-to-cost ratios to counter, disrupt, and intercept enemy UAV sw…
  crossref Runze He, Di Wu, Tao Hu, Tengda Huang 等 2024-08-17T04:47:11Z 置信度 0.76
• Analysis of Command Efficiency for UAV Defense Swarm Based on Informationized Environment
  The construction of command systems for defending against UAV swarms in the current informationized environment has opened new possibilities while presenting significant challenges. Investigating the command efficiency in the UAV defense swarms is very crucial…
  crossref Jinzhao Pan, Chengjun Xun, Yun Xu 2024-12-18T19:24:36Z 置信度 0.76
• Energy-Efficient Path-Planning for UAV Swarm Based Missions: A Genetic Algorithm Approach
  In all applications involving swarms, it's crucial for the group to achieve its objectives safely and with efficient energy utilisation, while adhering to constraints and meeting mission requirements. This article focuses on addressing the offline path plannin…
  crossref Georgios P. Kladis, Lefteris Doitsidis, Nikos C. Tsourveloudis 2024-06-19T17:22:59Z 置信度 0.76
• Fusion of Deep Learning and Adaptive Networking for UAV Swarm Communication Performance Optimization
  A distributed management system for multi-UAV swarm networks is designed based on mobile ad hoc networks. The system features a hierarchical architecture with dual-mode wireless communication and edge computing units. Through optimized protocol stacks and mana…
  crossref Yihang Huang, Ting Song 2025-03-26T06:38:40Z 置信度 0.76
• Improving the survivability of a reconnaissance UAV swarm based on cellular automata
  The concept of swarming is not new. It is known to have originated and spread in the biological sciences, for example, bee colonies (reproduction). It has also found its application in military tactics - when several units converge to attack a target from seve…
  crossref Volodymyr O. Samburskyi, Eugene V. Malakhov 2024-08-26T12:26:16Z 置信度 0.76
• DRL-Based Distributed Joint Serving and Charging Scheduling for UAV Swarm
  Unmanned aerial vehicles (UAVs) have been applied to a wide range of applications. When planning a mission for battery-powered UAVs, energy replenishment is a factor that can-not be ignored. This paper considers a decentralized scheduling scheme for a swarm of…
  crossref Hsiao-Chi Chen, Li-Hsing Yen 2024-07-03T17:25:55Z 置信度 0.76
• Research on Operational Effectiveness Evaluation of Intelligent UAV Swarm
  Aiming at the characteristics of autonomous cooperation, intelligent confrontation and ability emergence of intelligent UAV swarm combat system, this paper constructs the operational effectiveness evaluation index system of intelligent UAV swarm from three asp…
  crossref Jing Ma, Yang Bai, Chuangbo Hao 2025-01-31T12:16:01Z 置信度 0.76
• Geometrically-Informed Particle Filters for UAV Swarm Tracking
  This paper focuses on challenging swarm tracking applications where a relatively large number of small UAVs need to be detected and tracked as a whole swarm. In practice, due to the small size of the UAVs, they are hard to detect and when using radars, the thr…
  crossref Tharani Rajapaksha, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad 2024-12-31T19:22:47Z 置信度 0.76
• Uav urban mobility control: swarm intelligence and collision avoidance
  Subject matter: Intelligent management of traffic flows in urban environments using swarm intelligence principles and collision avoidance algorithms to ensure safe and efficient urban mobility. Special attention is given to the management of unmanned vehicles …
  crossref Maksym Yena 2024-12-13T14:49:21Z 置信度 0.82 electrical engineering, electronic engineering, information engineeringsystems and controlcs.roroboticscomputer and information sciences
• Energy Efficient Image Transmission Over Semantic Communication Enabled UAV Swarm Networks
  In this paper, a semantic communication framework is proposed for unmanned aerial vehicle (UAV) swarm formation flight. In the studied model, a leader extracts semantic information from the aerial image and transmits it to each follower using limited transmiss…
  crossref Yixiao Feng, Yining Wang, Bo Zhang, Huadong Dai 2025-01-14T19:41:04Z 置信度 0.76
• Research on Multi-UAV Logistics Distribution Model Based on Improved Particle Swarm Algorithm
  In order to efficiently and reasonably complete multi-unmanned aerial vehicle (UAV) collaborative logistics distribution tasks, this paper studies the multi-UAV logistics distribution model and related path optimization algorithms. Firstly, a multi-UAV logisti…
  crossref Tianshi Liu, Yingna Duan, Minjie Hao 2024-06-18T17:28:53Z 置信度 0.76
• Collaborative search and tracking based on dynamic map and information fusion for UAV swarm
  To improve the accuracy and stability of multi-target tracking tasks for UAV swarm, a UAV scheduling method based on multi-agent reinforcement learning is proposed. In the proposed method, a multi-agent actor-critic with attention (MAAC) algorithm is proposed,…
  crossref Yuechen Ge, Jianjun Ni 2025-03-13T17:33:27Z 置信度 0.76
• Research on Distributed Task Allocation Algorithm for UAV Swarm Based on Evolutionary Game
  With the advancements in technologies such as artificial intelligence, communication, and microelectronics, unmanned systems have rapidly developed and gradually replaced humans in certain challenging and adversarial domains, taking on increasingly complex tas…
  crossref Yansong Kong, Qiang Chang, Hongliang Wang 2024-06-18T17:28:53Z 置信度 0.76
• Research on Modeling Method of Close-Range Anti-UAV Swarm Combat Simulation
  As an innovative combat strategy, swarm UAV tactics have been playing a significant role in local conflicts in recent years. In view of the rapid development of the technology and the corresponding operational concept of the unmanned aerial vehicle (UAV) fleet…
  crossref Cheng Fangzi, Zheng Wenrui, Xu Chengjun 2024-10-29T17:28:51Z 置信度 0.76
• Enhancing UAV swarm mission planning with a weighted graph attention network-based genetic algorithm
  Mission planning for UAV swarms is an NP-hard combinatorial optimization problem. Genetic algorithms find approximate solutions to this problem within an acceptable computational time. However, in complex real combat scenarios, the computation of individual fi…
  crossref xin zhou 2024-08-07T16:08:48Z 置信度 0.76
• Collaborative Aerial 3D Printing: Leveraging UAV Flexibility and Mesh Decomposition for Aerial Swarm-Based Construction
  The article introduces a novel approach to foster collaborative aerial 3D printing by leveraging the dexterous flexibility of multiple UAVs working in tandem towards autonomous construction. This cooperative operation effectively overcomes payload limitations …
  crossref Marios-Nektarios Stamatopoulos, Avijit Banerjee, George Nikolakopoulos 2024-06-19T17:22:59Z 置信度 0.76
• Combat Effectiveness Evaluation of UAV Intelligent Swarm Based on AHP-Fuzzy Comprehensive Evaluation
  In order to evaluate the combat effectiveness of UAV intelligent swarm, this paper puts forward the establishment of UAV intelligent swarm combat effectiveness evaluation index system based on availability, credibility and combat ability, analyzes the factors …
  crossref Yuan Li 2024-10-13T07:53:52Z 置信度 0.82 cs.nieess.spcontrol theorycs.iteess.sy