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• Research on Division of Labor Decision and System Stability of Swarm Robots Based on Mutual Information.
  europepmc 2024 置信度 0.80
• WildDrone: autonomous drone technology for monitoring wildlife populations.
  europepmc 2025 置信度 0.80
• Dynamic UAV Deployment Scheme Based on Edge Computing for Forest Fire Scenarios.
  europepmc 2024 置信度 0.80
• Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems.
  europepmc 2024 置信度 0.80
• Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing.
  europepmc 2024 置信度 0.80
• Enhancing multi-UAV air combat decision making via hierarchical reinforcement learning.
  europepmc 2024 置信度 0.80
• Leveraging UAV hyperspectral imaging for crop physiology and biochemistry: A comprehensive review of feature extraction and selection methods.
  europepmc 2026 置信度 0.80
• DeepSpoofNet: a framework for securing UAVs against GPS spoofing attacks.
  europepmc 2025 置信度 0.80
• Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs.
  europepmc 2025 置信度 0.80
• An improved chaos sparrow search algorithm for UAV path planning.
  europepmc 2024 置信度 0.80
• Neural network optimal control for tripartite UAV confrontation systems based on fuzzy differential game.
  europepmc 2024 置信度 0.80
• A local filtering-based energy-aware routing scheme in flying ad hoc networks.
  europepmc 2024 置信度 0.80
• Aerial manipulation of long objects using adaptive neuro-fuzzy controller under battery variability.
  europepmc 2025 置信度 0.80
• Research on Real-Time Roundup and Dynamic Allocation Methods for Multi-Dynamic Target Unmanned Aerial Vehicles.
  europepmc 2024 置信度 0.80
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.82
• 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 0.66 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 0.66
• 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 0.66
• 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 0.66
• 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 0.66
• 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 0.66
• 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 0.66
• 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 0.66
• 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 0.66
• 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 0.66
• 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 0.66
• 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 0.66
• 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 0.66
• 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 0.66 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 0.66 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 0.66 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 0.66 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 0.66 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 0.66 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 0.66 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 0.66 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 0.66 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 0.66 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
  crossref Atakan Yiğit, Ali Osman Kalaycý, Eren Akdemir 2024-07-23T17:57:31Z 置信度 0.70
• Heterogeneous UAV Swarm Task Allocation via Hierarchy Tolerance Pigeon-Inspired Optimization
  crossref Zhiqiang Zheng, Haibin Duan, Yongbin Sun 2024-08-08T17:55:15Z 置信度 0.70
• A Micro-Doppler Analysis for Radar-Based UAV Swarm Detection
  crossref Ziquan Zhang 2025-02-06T18:32:46Z 置信度 0.70
• UAV path planning algorithm based on Global Optimal Solution Tracking Enhanced Particle Swarm Optimization
  crossref Le Han, Hui Zhang 2024-09-17T18:46:36Z 置信度 0.70
• UAV Formation Cooperative Control Based on Consistency Theory
  crossref Mengding Liu, Haihong Chi 2024-07-11T08:02:28Z 置信度 0.70
• DTPBFT:A dynamic and highly trusted blockchain consensus algorithm for UAV swarm
  crossref Pengbin Han, Xinfeng Wu, Aina Sui 2024-06-13T12:56:15Z 置信度 0.70
• Multi-UAV task allocation based on improved particle swarm optimization
  crossref Fanjun Meng, Keding Yan 2024-10-04T17:33:11Z 置信度 0.70
• 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 0.70
• Placement of Swarm UAV for Data Collection: A Deep Reinforcement Learning Approach
  crossref Aswini Ghosh, Nelson Sharma, Rajiv Misra 2025-01-16T18:31:23Z 置信度 0.70
• UAV swarm network service classification based on multi-target threat assessment
  crossref Yang Gao, Qi Jia 2025-03-04T18:39:08Z 置信度 0.70
• 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 0.70
• Review of Maneuvering Strategies in the Level Flight Section of UAV
  crossref Wendi Sun, Mingrui Hao 2024-07-11T08:02:28Z 置信度 0.70
• Multi-UAV Collaborative Detection Based on Reinforcement Learning
  crossref Yuanhui Hao, Chubing Guo, Liangjun Ke 2024-08-22T04:37:21Z 置信度 0.70
• A Proximal Policy Optimization method in UAV swarm formation control
  crossref Ning Yu, Juan Feng, Hongwei Zhao 2024-05-22T17:09:28Z 置信度 0.70
• An Improved Particle Swarm Algorithm for UAV 3D Path Planning
  crossref Jiarun Zheng, Xiaoming Wu, Tong Li 2025-03-04T18:39:08Z 置信度 0.70
• UAV Swarm Routing Communication Method Based on Improved AODV Protocol
  crossref Jiayang Yu, Huahui Yi, Yuzhen Chen 2025-01-22T18:47:22Z 置信度 0.70
• A Target Tracking Method Based on Multi Nonlinear Filter Fusion for UAV Swarm
  crossref Zhenzhen Fan 2024-10-30T17:45:02Z 置信度 0.70
• Intelligent Route Planning Method for UAV Based on Swarm Intelligence and Deep Learning Technology
  crossref Jian Yang, Xuejun Huang 2024-09-03T09:06:24Z 置信度 0.70
• 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 0.70
• Obstacle Avoidance for UAV Swarm Based on Pigeon Flock Dynamic Interaction Mechanism
  crossref Lin Xie, Xiangyin Zhang 2025-02-13T18:29:08Z 置信度 0.70
• Robust Multi-UAV System Collaboration under Limited Perception
  crossref Xue Guo, He Wang, Wenwu Yu 2024-06-17T19:02:28Z 置信度 0.70
• Coverage-based cooperative searching method for UAV swarm under multisensor errors
  crossref yanlong Leng, tao Song, hong Tao, fan Li 等 2024-08-17T04:47:15Z 置信度 0.70
• Intelligent Decision-making Algorithm for Anti-UAV Swarm Based on Convolutional Neural Networks
  crossref Xuezhang Sun, Chenguang Shi, Jianjiang Zhou 2024-08-09T17:18:24Z 置信度 0.70
• Knowledge Distillation-Based Robust UAV Swarm Communication Under Malicious Attacks
  crossref Qirui Wu, Yirun Zhang, Zhaohui Yang, Mohammad Shikh-Bahaei 2024-08-12T17:23:42Z 置信度 0.70
• Graph Transformer Aided Resource Virtualization Embedding in UAV Swarm Networks
  crossref Chao Zhang, Haipeng Yao, Tianle Mai 2024-06-20T06:22:44Z 置信度 0.70
• 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 0.70
• 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 0.70
• Modeling the Dynamic Network for Determined Communication of UAV Swarm
  crossref Qin Chen, Jia Luo, Hongcheng Yan, Wenjie Ma 等 2025-04-03T00:01:20Z 置信度 0.70
• Research on the strategy of UAV swarm collaborative hunting of black flights
  crossref Jinhui Chen, Chuang Zhan, Jiangbo Cheng, Fujia Sun 2024-09-17T18:46:36Z 置信度 0.70
• UAV swarm confrontation intelligent decision-making technology review
  crossref Runze He, Di Wu, Tao Hu, Tengda Huang 等 2024-08-17T04:47:11Z 置信度 0.70
• Analysis of Command Efficiency for UAV Defense Swarm Based on Informationized Environment
  crossref Jinzhao Pan, Chengjun Xun, Yun Xu 2024-12-18T19:24:36Z 置信度 0.70
• Energy-Efficient Path-Planning for UAV Swarm Based Missions: A Genetic Algorithm Approach
  crossref Georgios P. Kladis, Lefteris Doitsidis, Nikos C. Tsourveloudis 2024-06-19T17:22:59Z 置信度 0.70
• Fusion of Deep Learning and Adaptive Networking for UAV Swarm Communication Performance Optimization
  crossref Yihang Huang, Ting Song 2025-03-26T06:38:40Z 置信度 0.70
• Improving the survivability of a reconnaissance UAV swarm based on cellular automata
  crossref Volodymyr O. Samburskyi, Eugene V. Malakhov 2024-08-26T12:26:16Z 置信度 0.70
• DRL-Based Distributed Joint Serving and Charging Scheduling for UAV Swarm
  crossref Hsiao-Chi Chen, Li-Hsing Yen 2024-07-03T17:25:55Z 置信度 0.70
• Research on Operational Effectiveness Evaluation of Intelligent UAV Swarm
  crossref Jing Ma, Yang Bai, Chuangbo Hao 2025-01-31T12:16:01Z 置信度 0.70
• Geometrically-Informed Particle Filters for UAV Swarm Tracking
  crossref Tharani Rajapaksha, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad 2024-12-31T19:22:47Z 置信度 0.70
• 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 0.70
• Energy Efficient Image Transmission Over Semantic Communication Enabled UAV Swarm Networks
  crossref Yixiao Feng, Yining Wang, Bo Zhang, Huadong Dai 2025-01-14T19:41:04Z 置信度 0.70
• Research on Multi-UAV Logistics Distribution Model Based on Improved Particle Swarm Algorithm
  crossref Tianshi Liu, Yingna Duan, Minjie Hao 2024-06-18T17:28:53Z 置信度 0.70
• Collaborative search and tracking based on dynamic map and information fusion for UAV swarm
  crossref Yuechen Ge, Jianjun Ni 2025-03-13T17:33:27Z 置信度 0.70
• Research on Distributed Task Allocation Algorithm for UAV Swarm Based on Evolutionary Game
  crossref Yansong Kong, Qiang Chang, Hongliang Wang 2024-06-18T17:28:53Z 置信度 0.70
• Research on Modeling Method of Close-Range Anti-UAV Swarm Combat Simulation
  crossref Cheng Fangzi, Zheng Wenrui, Xu Chengjun 2024-10-29T17:28:51Z 置信度 0.70
• Enhancing UAV swarm mission planning with a weighted graph attention network-based genetic algorithm
  crossref xin zhou 2024-08-07T16:08:48Z 置信度 0.70
• Collaborative Aerial 3D Printing: Leveraging UAV Flexibility and Mesh Decomposition for Aerial Swarm-Based Construction
  crossref Marios-Nektarios Stamatopoulos, Avijit Banerjee, George Nikolakopoulos 2024-06-19T17:22:59Z 置信度 0.70
• 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 0.70
• Cooperative multi-task assignment modeling of UAV based on particle swarm optimization
  Unmanned Ariel Vehicles (UAVs) are interconnected to perform specific tasks through self-routing and air-borne communications. The problem of automated navigation and adaptive grouping of the vehicles results in improper task completion and backlogs. To addres…
  crossref Xiaoming Zhou, Kun Yang 2024-05-24T12:15:49Z 置信度 0.70
• A Planning Method for Operational Test of UAV Swarm Based on Mission Reliability
  crossref Jingyu Wang, Ping Jiang, Jianjun Qi 2024-05-20T09:10:56Z 置信度 0.70
• SYNERGISTIC CONFLICT-FREE UAV SWARM MOVEMENT MODELING USING METAHEURISTIC APPROACHES
  The paper considers a new synergistic conflict-free movement model for unmanned aerial vehicle (UAV) swarm on the battlefield, based on the metaheuristic approach of particle swarm optimization (PSO). The paper presents an improved algorithm that ensures effec…
  crossref O. Kompaniiets, I. Kliushnikov, M. Kasatkin 2025-01-27T21:05:23Z 置信度 0.70
• Multi-hop Diffused Graph Convolution for Resilient UAV Swarm Networks
  crossref Huan Lin, Lianghui Ding, Siheng Chen, Feng Yang 等 2024-07-31T20:38:48Z 置信度 0.70
• Fractional-Order Event-Triggered Formation Control for Multi-UAV Systems with Collision Avoidance
  crossref Tiaoping Fu, Hao Xiong, Hongbin Deng, Xinglei Jiang 2024-06-14T19:01:29Z 置信度 0.70
• Energy-Efficient UAV Swarm Assisted MEC With Dynamic Clustering and Scheduling
  crossref Jialiuyuan Li, Jiayuan Chen, Changyan Yi, Tong Zhang 等 2024-07-03T17:25:49Z 置信度 0.70
• Research on autonomous decision-making of UAV swarm based on neural network algorithm
  This article focuses on typical unmanned aerial vehicle (UAV) cluster autonomous collaborative reconnaissance mission scenarios, constructs UAV classes in Matlab, and effectively constructs UAV autonomous decision-making models using two different algorithms; …
  crossref Xin Shen 2024-08-14T03:42:57Z 置信度 0.70
• Metropolis criterion pigeon-inspired optimization for multi-UAV swarm controller
  This paper presents a new multiple unmanned aerial vehicle swarm controller based on Metropolis criterion. This paper presents the design of a controller, utilizing the improved Metropolis criterion pigeon-inspired optimization (IMCPIO) and proportional-integr…
  crossref Jinghua Guan, Hongfei Cheng 2024-03-08T09:22:38Z 置信度 0.70
• Cooperative area searching method for UAV swarm based on wolf pack intelligence
  crossref jinqiang hu 2024-07-21T17:42:06Z 置信度 0.70
• Research on UAV formation optimization based on emergence effect of swarm intelligence
  crossref Lejiang Guo, Wangcheng Zhan, Fan Wu, Shijia Xu 2024-11-12T18:16:20Z 置信度 0.70
• UAV 3-D Path Planning Based on Particle Swarm Optimization Algorithm in Complex Terrain
  crossref Mengjie Yang, PengJun Mao 2024-10-02T18:15:36Z 置信度 0.70
• Obstacle-Aware UAV Swarm Deployment for User Coverage Using Deep Reinforcement Learning
  crossref Shilan He, Kyo Hyun Kim, Matthew Caesar, Jae Kim 等 2024-12-06T18:47:40Z 置信度 0.70
• Force Demand Planning of UAV Cluster Adversarial via Hybrid Group Swarm Optimization
  crossref Jingyan Zhao, Xiaoxiang Hu, Hanyu Qian, Wenjie Guo 2024-06-18T17:28:53Z 置信度 0.70