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• Model Construction and Fusion Algorithm Analysis for Defense Against Threats from UAV Swarm
  crossref Minkun Guo, Yun Xu, Chengjun Xu 2024-12-24T19:10:01Z 置信度 0.70
• Network analysis of decentralized fault-tolerant UAV swarm coordination in critical missions
  Unmanned aerial vehicles (UAVs) have gained prominence across various sectors for their versatile applications. While their advantages are evident, addressing concerns associated with their deployment is essential to ensure reliability. This study presents an …
  crossref Indu Chandran, Kizheppatt Vipin 2024-05-01T21:33:46Z 置信度 0.70
• A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming
  crossref Zhenzu Bai, Haiyin Zhou, Jianmai Shi, Lining Xing 等 2024-04-15T06:41:36Z 置信度 0.70
• Overview of Anti-jamming Strategy for UAV Radar in Naval Battlefields
  crossref Wen Li, Hu-cheng Pei, Guang-zhou Qu 2024-06-17T19:02:28Z 置信度 0.70
• Beampattern Analysis of Uplink Cooperative Beamforming of UAV Swarm to LEO Satellite
  crossref Junggon Seo, Byungha You, Haejoon Jung 2025-01-14T19:40:10Z 置信度 0.70
• A Distributed Task Allocation Algorithm for UAV Swarm Based on Local Information
  crossref Junfu Zhang, Chengjin Liu, Tao Liu, Shiqi Jiang 2025-03-27T02:21:14Z 置信度 0.70
• A Virtual Spring-Damper Approach for UAV Swarm Formation and Decentralised Collision Avoidance
  crossref Luis Mejias, Pedro Arias-Perez, Javier Melero-Deza, Pascual Campoy 2024-06-19T17:22:59Z 置信度 0.70
• Research on UAV Path Planning Based on Particle Swarm Optimization and Soft Actor-Critic
  crossref Jionghui Chen, Lisang Liu, Youyuan Zhang, Wenwei Chen 等 2025-02-13T18:29:08Z 置信度 0.70
• Integration of Condition Information in UAV Swarm Management to increase System Availability in dynamic Environments
  The approach of prognostics and health management (PHM) focuses on the real-time health assessment of a system under its actual operating condition and even extending this by the prediction of the future state based on up-to-date system information. This pursu…
  crossref Lorenz Dingeldein 2024-06-27T01:30:49Z 置信度 0.70
• Intelligent anti-jamming scheme of UAV swarm based on DQN
  crossref Ziye Lin 2024-04-04T05:52:40Z 置信度 0.70
• Blockchain-based entity access control scheme for ubiquitous UAV swarm tasks
  crossref Hui Xie, Teng He, Shengjun Wei, Changzhen Hu 2024-12-19T02:36:47Z 置信度 0.70
• Modeling and Simulation Analysis of Multi-Agent in UAV Swarm Attack and Defense Combat
  crossref Junqian Li, Wangxu Li, Chengjun Xu 2024-10-29T17:28:51Z 置信度 0.70
• UAV Swarm Rounding Strategy Based on Deep Reinforcement Learning Goal Consistency with Multi-Head Soft Attention Algorithm
  Aiming at the problem of target rounding by UAV swarms in complex environments, this paper proposes a goal consistency reinforcement learning approach based on multi-head soft attention (GCMSA). Firstly, in order to make the model closer to reality, the reward…
  crossref Zhaotian Wei, Ruixuan Wei 2024-12-03T11:48:56Z 置信度 0.70
• Security Analysis of UAV Swarm Based on Smart Contracts
  crossref Ximeng Xu, Jihui Xu, Ying Fu, Wenjie Tian 2024-09-09T17:35:50Z 置信度 0.70
• An Algorithm Design for Constrained Noncooperative Games and Its Application to UAV Swarm
  crossref Rui Xue, Jun Xie, Haoyu Tian, Mingxin Kang 2025-01-16T18:31:24Z 置信度 0.70
• Multi-UAV Collaborative Target Consensus Detection Using Enhanced Particle Swarm Optimization
  crossref Xinhua Wang, Mingzhu Wei, Xiaomei Xie, Hongyu Zhang 等 2024-08-19T17:25:38Z 置信度 0.70
• Evaluation and Evolution Method of Command and Control Structures in UAV Swarm Operations Based on Potential Energy
  crossref Yujuan Huang, Yaoqin Zhu 2025-02-14T18:25:13Z 置信度 0.70
• An improved sand cat swarm optimization for moving target search by UAV
  crossref Yanbiao Niu, Xuefeng Yan, Yongzhen Wang, Yanzhao Niu 2023-10-25T08:51:24Z 置信度 0.70
• Mission-Oriented Heterogeneous UAV Swarm Capability Configuration Optimization Method
  crossref Hui Tang, Tielin Ma, Jie Wang, Lizhi Wang 2025-01-22T18:45:23Z 置信度 0.70
• Safety Assurance in Multi-UAV Formation Tracking Control Amidst Missile Threats
  crossref Haoqi Li, Jiangping Hu, Qingrui Zhou, Maolong Lv 等 2024-06-14T19:01:29Z 置信度 0.70
• Screening Method of Distributed Cooperative Navigation Factors for Uav Swarm
  crossref Zhang Can, Li Qun, Lun WeiCheng, Guo Dong 2025-05-26T16:22:04Z 置信度 0.70
• Research on Improving Dynamic Multi Swarm Particle Swarm Optimization Algorithm for UAV Path Planning
  crossref 旭 王 2024-09-06T02:05:28Z 置信度 0.70
• Multiobjective Spherical Vector-Based Particle Swarm Optimisation for 3D UAV Path Planning
  crossref Mengxuan Zhang, Kun Ma, Long Liu, Wenbo Zhang 2024-10-10T17:21:28Z 置信度 0.70
• Cooperative Formation Control of Fixed-Wing UAV Based on L1 Guidance Law Considering Collision Avoidance
  crossref Keyuan Yue, Mingrui Hao, Yan Zhen, Xinyu Liu 2024-07-11T08:02:28Z 置信度 0.70
• Refinement of Collaborative Multitasking and Multi-Objective Allocation in Heterogeneous UAV Swarms An Approach Informed by Decomposition Learning and Particle Swarm Optimization
  The utilization of Unmanned Aerial Vehicle(UAV) swarms has witnessed a remarkable rise across diverse domain, accompanied by an escalating complexity of challenges. This study addresses these challenges by concurrently considering task rescue value of and UAV …
  crossref Lingfeng Rao, Yong Zhang, Na Geng, Guangsong Guo 2024-08-15T11:49:00Z 置信度 0.70
• A UAV swarm simulation system for operator cognitive analysis
  crossref Yunduo Feng, Xiaochuan Zhao, Huapeng Liu, Leiming Jin 等 2024-08-07T16:14:24Z 置信度 0.70
• Data-Driven Fault Detection and Diagnosis for UAV Swarm Systems
  With the widely application and promotion of Unmanned aerial vehicle (UAV) technology, UAV swarms are widely used in military and civilian fields by taking advantage of group collaboration. It has huge economic and national defense value. The safety and reliab…
  crossref Li Runze, Jiang Bin, Yu Ziquan, Liu Ningyun 2024-10-07T15:38:14Z 置信度 0.70
• Overview of cooperative UAV swarm localization
  crossref Runzong Shangguan, Lin Lin, Yanbo Zhou 2025-01-02T21:19:55Z 置信度 0.70
• Research on Optimization Method for Configuration Connection of Multi UAV Cluster Collaborative Navigation
  crossref Chen Gu, Rong Wang, Weicheng Zhao, Zhi Xiong 等 2024-06-14T18:02:53Z 置信度 0.70
• Force Planning for Anti-UAV Protection Tasks of Power Grid via Grouping Competitive Swarm Optimization
  crossref You Xing, Yashan Liang, Yunfeng Xia, Qishuai Liang 2024-11-19T18:38:50Z 置信度 0.70
• Task Allocation in UAV Swarm Zone Breach: A Dynamic Game-Theoretical Approach
  crossref Yanzhen Wang, Haoxiang Zhang, Wangli He 2025-01-22T18:45:23Z 置信度 0.70
• Research on the Application of Hybrid Particle Swarm Algorithm in Multi-UAV Mission Planning with Capacity Constraints
  crossref Jingzhi Bi, Wei Huang, Bei Li, Lingbo Cui 2025-01-22T18:45:23Z 置信度 0.70
• Joint Dynamic Role Switching Scheme and Cooperative Task Offloading Optimization for UAV Swarm-Enabled Edge Computing
  crossref Kun Lu, Tao Xu, Mingchu Li, Zhihua Wang 2024-09-09T17:35:05Z 置信度 0.70
• Active Obstacle Avoidance of Multi-Rotor UAV Swarm Based on Stress Matrix Formation Method
  Aiming at the formation problem of the multi-rotor UAV swarm, this paper adopts a multi-rotor UAV swarm formation control method based on a stress matrix to ensure the stability of multi-rotor UAV swarm formation. On the basis of achieving the target formation…
  crossref Zhenyue Qiu, Lei Zhang, Yuan Chi, Zequn Li 2025-01-01T14:35:42Z 置信度 0.70
• A Dynamic Topology-Considered UAV Swarm Path Planning Method in City Environment
  crossref Lefu Liu, Yueqiang Sun, Peifeng Wu, Hui Xie 等 2024-12-30T19:20:36Z 置信度 0.70
• Design Concept of Angular Controller for Quadrotor UAV Based on Improved Particle Swarm Optimization Algorithm PID Control
  The control of unmanned aerial vehicles (UAVs) is a key research problem in the field of UAVs. PID control is currently one of the most widely used methods for this issue. However, the classical PID control structure suffers from difficulty tuning control para…
  crossref Yuqing Cheng 2024-07-25T04:25:23Z 置信度 0.70
• Research on Autonomous Decision-Making of Multi-UAV Air Combat Based on Deep Reinforcement Learning
  crossref Zhiming Zhou, Hongmin Qi, Zhen Liu, Dianwei Qian 2024-06-14T18:02:53Z 置信度 0.70
• Intrinsic Resilience Measurement and Analysis for UAV Swarm Systems
  crossref Yingyi Li, Rui Kang, Chao Yang, Qingyuan Zhang 2025-03-31T23:18:00Z 置信度 0.70
• DECISION-MAKING HETEROGENEOUS UAV SWARM SYSTEM WITH NEURAL NETWORK-ENHANCED REINFORCEMENT LEARNING
  This article explores how artificial intelligence and automation are significantly impacting unmanned aerial vehicles (UAVs), moving from traditional roles to versatile applications. The paper addresses the problem of optimizing the composition of a UAV swarm …
  crossref Y. O. ALBREKHT, A. V. PYSARENKO 2024-01-30T12:22:03Z 置信度 0.70
• Satellite and UAV Swarm Integrated Space-Air Communication Based on 5G Non-Terrestrial Networks
  crossref Siyang Shi, Li Zhou, Kun Lan, Xinfeng Tang 等 2024-12-17T19:07:41Z 置信度 0.70
• A Distributed Critical Node Detection Algorithm for UAV Swarm Networks
  crossref Zihang He, Haosong Gou, Xiong Wu, Gaoyi Zhang 等 2025-02-28T18:40:05Z 置信度 0.70
• PREDICTION OF UAV POSITIONS USING PARTICLE SWARM OPTIMISATION-BASED KALMAN FILTER, 312-319.
  crossref Jian Zhou, Yu Su, Yuhe Qiu, Xiaoyou He 等 2024-01-20T11:12:02Z 置信度 0.70
• UAV Swarm Cooperative Dynamic Target Search: A MAPPO-Based Discrete Optimal Control Method
  Unmanned aerial vehicles (UAVs) are commonly employed in pursuit and rescue missions, where the target’s trajectory is unknown. Traditional methods, such as evolutionary algorithms and ant colony optimization, can generate a search route in a given scenario. H…
  crossref Dexing Wei, Lun Zhang, Quan Liu, Hao Chen 等 2024-05-22T10:00:11Z 置信度 0.70
• Cybersecurity of UAV Swarm Communication using VPN and RIS Technologies Integration: Protected Assets, IMECA Analysis and Countermeasures
  crossref Ruslan Demura, Vyacheslav Kharchenko, Vitaly Levashenko 2025-08-21T18:18:25Z 置信度 0.70
• Transition Trajectory Planning for a VTOL Morphing UAV Based on Improved Pigeon-Inspired Optimization
  crossref Duo Gao, Boyi Chen, Teng Liao, Wenjun Xu 等 2024-06-14T18:02:53Z 置信度 0.70
• Reinforcement learning based fission-fusion for heterogeneous UAV swarm under dynamic interference environments
  crossref yufeng wang, Xiaorong Zhang, qing wang, zhilan zhang 等 2024-08-17T04:47:10Z 置信度 0.70
• Computational offloading into UAV swarm networks: a systematic literature review
  crossref Asrar Ahmed Baktayan, Ammar Thabit Zahary, Axel Sikora, Dominik Welte 2024-09-07T18:01:50Z 置信度 0.70
• Operational Evaluation of UAV Swarm Precision Strikes with Agent Based Modeling and Simulation
  crossref Zhengzhi Lu, Yufeng Chen, Li Chen, Yanxiang Ling 等 2024-12-27T19:10:12Z 置信度 0.70
• Cooperative Navigation for UAV Swarm Based on Gaussian Particle Belief Propagation
  crossref Xu Jiang, Mingxing Chen, Jun Xiong, Yuheng Zhang 等 2025-01-14T19:43:02Z 置信度 0.70
• Adoption of UAV Swarm Technology: Survey and Opinions of Firefighters
  crossref Alex McConville, Georgios Tzoumas, Lucio R. Salinas, Marcela Munera 等 2024-06-19T17:24:25Z 置信度 0.70
• Adaptive Graph-Based Federated Multi-Agent DRL for 6G UAV Swarm Efficiency
  crossref Bishmita Hazarika, Keshav Singh, Trung Q. Duong 2025-03-03T13:28:09Z 置信度 0.70
• Optimizing Energy Consumption of the UAV Swarm Performing Coverage Task with Stochastic Sweep Coverage Control Algorithm
  crossref Krzysztof Falkowski, Michal Duda 2024-07-23T17:26:19Z 置信度 0.70
• UAV Swarm Confrontation Based on Multi-Agent Soft Actor-Critic Method
  crossref Yongkang Jiao, Wenxing Fu, Xinying Cao, Yaping Wang 等 2025-01-22T18:45:23Z 置信度 0.70
• Cooperative Intelligence-Based UAV Swarm for Establishing Emergency Communication
  crossref Shan Huang, Haipeng Yao, Tianle Mai, Di Wu 等 2024-08-20T11:34:42Z 置信度 0.70
• A Bio-Inspired Adaptive Formation Architecture Based on Multi-Agents with Application to UAV Swarm
  crossref Jun Wang, Yuchen Zhang, LeiMin He, Delin Li 等 2025-01-22T18:45:23Z 置信度 0.70
• Research on delay error of UAV swarm repeater deception against networked radar
  crossref Wen Wen, Chenguang Shi, Jianjiang Zhou 2024-03-28T16:56:07Z 置信度 0.70
• Target Assignment in the Multi-UAV Combat Based on Distributed Compensation Auction Algorithm with Fixed-Time Consensus Protocol
  crossref Yiyang Chen, Yongzhao Hua, Jianglong Yu, Xiwang Dong 2024-06-14T18:02:53Z 置信度 0.70
• Optimization of Multitask Scheduling for Swarm UAV System with Charging Platform
  Swarm UAV technology have potential application in a wide range because of its ability to utilize large number, low cost and unified scheduled UAVs. Unified scheduling is tasks and resources allocation through UAV scheduling optimization, which is the key prob…
  crossref Ke Zhijie, Xu Guoning, Cai Rong, Li Yongxiang 等 2024-10-15T00:45:56Z 置信度 0.70
• Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach.
  The rapid advancement of unmanned aerial vehicles (UAVs) in disaster response and environmental monitoring has underscored the growing importance of real-time object detection within UAV swarm networks. However, the non-independent and identically distributed …
  europepmc 2026 置信度 0.80
• Context-Aware Multi-Agent Architecture for Wildfire Insights.
  europepmc 2026 置信度 0.80
• An Improved Red-Billed Blue Magpie Algorithm and Its Application to Constrained Optimization Problems.
  europepmc 2025 置信度 0.80
• Multi-UAV Collaborative Target Search Method in Unknown Dynamic Environment.
  pubmed Yang L, Hao Y, Xu J, Li M 2024 置信度 0.82
• MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats.
  europepmc 2025 置信度 0.80
• An intelligent bio-inspired multi-objective and scalable UAV-assisted clustering algorithm in flying ad hoc networks.
  europepmc 2026 置信度 0.80
• Harnessing multi-modal deep learning for multi-drone navigation-based trajectory prediction system.
  europepmc 2026 置信度 0.80
• A Hybrid Metaheuristic for High-Dimensional Constrained Optimization: Applications to Logistics and UAV Path Planning.
  europepmc 2026 置信度 0.80
• Multi-Agent Deep Reinforcement Learning for Cooperative Path Planning of UAV Swarms
  Abstract Collaborative path planning for UAV swarms in dynamic uncertain environments faces dual challenges of partial observability and cooperation mechanism design. The decentralized decision-making nature of multi-agent reinforcement learning (MARL) establi…
  europepmc 2025 置信度 0.80
• An efficient coverage path planning method for UAV in complex concave regions.
  europepmc 2025 置信度 0.80
• A distributed differential game approach to trajectory planning for offshore wind farm inspection.
  europepmc 2026 置信度 0.80
• Prescribed-time bearing-based time-varying formation control for multi-agent system.
  europepmc 2026 置信度 0.80
• Iterative localization method for multiple jammers in UAV collaborative jamming attacks.
  europepmc 2026 置信度 0.80
• Transformer-Based Soft Actor-Critic for UAV Path Planning in Precision Agriculture IoT Networks.
  Multi-agent path planning for Unmanned Aerial Vehicles (UAVs) in agricultural data collection tasks presents a significant challenge, requiring sophisticated coordination to ensure efficiency and avoid conflicts. Existing multi-agent reinforcement learning (MA…
  europepmc 2025 置信度 0.80
• Smart weather aware drone sink SWADS for reliable and energy efficient agricultural wireless sensor networks.
  europepmc 2025 置信度 0.80
• Multi-Domain Robot Swarm for Industrial Mapping and Asset Monitoring: Technical Challenges and Solutions.
  europepmc 2025 置信度 0.80
• Autonomous UAV Target Search Method Based on Lightweight YOLOv8n and Coverage Path Planning.
  europepmc 2026 置信度 0.80
• ISAC based seamless handover solution for SAGIN in high mobility environments.
  europepmc 2025 置信度 0.80
• Modeling and simulation of dual-battery FANET system using MADRL for energy optimization.
  europepmc 2025 置信度 0.80
• Soft-Centralized Spectrum Resource Management in UAV-Assisted MANETs from Aggregate Multi-Hop Information Efficiency.
  europepmc 2026 置信度 0.80
• Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT model.
  europepmc 2025 置信度 0.80
• MEIAO: A Multi-Strategy Enhanced Information Acquisition Optimizer for Global Optimization and UAV Path Planning.
  europepmc 2025 置信度 0.80
• Safe formation scaling and motion planning for heterogeneous UAV-UGV teams in cluttered environments.
  Heterogeneous UAV-UGV formations offer significant potential for autonomous missions; however, achieving stable three-dimensional (3-D) formation control with collision-free navigation in dense obstacle environments remains challenging due to heterogeneous dyn…
  europepmc 2026 置信度 0.80
• Multi-strategy Sea Horse Optimization algorithm for UAV path planning.
  europepmc 2026 置信度 0.80
• Cluster Networking and Cooperative Localization Based on Biogeography Optimization and Improved Super-Multidimensional Scaling for Multi-Unmanned Aerial Vehicles.
  europepmc 2025 置信度 0.80
• A Hierarchical PSMC-LQR Control Framework for Accurate Quadrotor Trajectory Tracking.
  europepmc 2025 置信度 0.80
• Aerial BS location optimization for monitoring multiple forest areas with uplink UAV throughput requirements.
  europepmc 2026 置信度 0.80
• Quantum-enhanced artificial potential field method for robust drone swarm shape formation.
  europepmc 2025 置信度 0.80
• Stochastic geometry analysis of UAV-assisted networks with probabilistic UAV activation.
  europepmc 2025 置信度 0.80
• MultiRRT-PSO-Based Cooperative Path Planning for Unmanned Aerial Vehicles
  europepmc 2025 置信度 0.80
• Toward Secure Communications for a UAV Swarm with Movable Antennas in SAGIN: CKM-Enabled Multi-Agent Reinforcement Learning Framework
  Space-air-ground integrated networks (SAGINs) can provide ubiquitous and reliable connectivity for unmanned aerial vehicles (UAVs). However, air-to-ground links, which are typically dominated by line-of-sight (LoS) propagation, are vulnerable to passive eavesd…
  datacite Wan, Jiayang, Wang, Yafei, Zhuang, Jiawei, Wang, Wenjin 等 2026 置信度 0.66 Signal Processing (eess.SP)FOS: Electrical engineering, electronic engineering, information engineering
• Universal Acoustic Resonance Imaging: Super-Resolution Multi-Source Localization and Spatial Energy Condensation across Sub-Wavelength Acoustic Arrays via RPU Physical Continuum Acceleration
  QuantNature Global Technical White Paper (Document ID: QN-UARI-2026-V1) Title Universal Acoustic Resonance Imaging (UARI): Super-Resolution Multi-Source Localization and Spatial Energy Condensation across Sub-Wavelength Acoustic Arrays via RPU Physical Continu…
  datacite QuantNature Global 2026 置信度 0.66 Acoustic ImagingAcoustic CameraSound Source LocalizationMicrophone Phased ArraySuper-Resolution
• Universal Acoustic Resonance Imaging: Super-Resolution Multi-Source Localization and Spatial Energy Condensation across Sub-Wavelength Acoustic Arrays via RPU Physical Continuum Acceleration
  QuantNature Global Technical White Paper (Document ID: QN-UARI-2026-V1) Title Universal Acoustic Resonance Imaging (UARI): Super-Resolution Multi-Source Localization and Spatial Energy Condensation across Sub-Wavelength Acoustic Arrays via RPU Physical Continu…
  datacite QuantNature Global 2026 置信度 0.66 Acoustic ImagingAcoustic CameraSound Source LocalizationMicrophone Phased ArraySuper-Resolution
• expanded theories
  Combined, the railgun pod, Frostline core, signal‑booster RF link, and visual bay give you an armed, long‑range, encrypted drone (or swarm) with real‑time command, telemetry, and video, all governed through the same safety and lineage stack. 1. Command‑and‑con…
  datacite lee, francis 2026 置信度 0.66
• expanded theories
  Combined, the railgun pod, Frostline core, signal‑booster RF link, and visual bay give you an armed, long‑range, encrypted drone (or swarm) with real‑time command, telemetry, and video, all governed through the same safety and lineage stack. 1. Command‑and‑con…
  datacite lee, francis 2026 置信度 0.66
• Halo Net: An AI-Driven Autonomous Hybrid Aerial Communication Network for 6G Disaster Resilience and Rural Broadband
  Halo Net proposes a four-layer hybrid communication architecture that integrates a solar-powered High-Altitude Platform Station (HAPS), an autonomous UAV relay swarm, a self-healing terrestrial mesh, and distributed edge-AI inference nodes into a single adapti…
  datacite Danish, A Mohammed Rahil, Mohammed Aftab Vali 2026 置信度 0.66
• Halo Net: An AI-Driven Autonomous Hybrid Aerial Communication Network for 6G Disaster Resilience and Rural Broadband
  Halo Net proposes a four-layer hybrid communication architecture that integrates a solar-powered High-Altitude Platform Station (HAPS), an autonomous UAV relay swarm, a self-healing terrestrial mesh, and distributed edge-AI inference nodes into a single adapti…
  datacite Danish, A Mohammed Rahil, Mohammed Aftab Vali 2026 置信度 0.66
• Centrifugal Fixed Wing UAV Swarm Launcher V2
  This work presents a magazine-fed centrifugal launcher for repeated autonomous deployment of fixed-wing unmanned aerial vehicles. The system extends the previously validated dual-arm centrifugal launch architecture by replacing the chain-driven hub with a dire…
  datacite Husain, Ali Muzammil 2026 置信度 0.66
• Centrifugal Fixed Wing UAV Swarm Launcher V2
  This work presents a magazine-fed centrifugal launcher for repeated autonomous deployment of fixed-wing unmanned aerial vehicles. The system extends the previously validated dual-arm centrifugal launch architecture by replacing the chain-driven hub with a dire…
  datacite Husain, Ali Muzammil 2026 置信度 0.66
• Data-extraction and adversary-model coding dataset for "UAV Path Planning in the Presence of Jamming: A Survey"
  This dataset supports the survey "UAV Path Planning in the Presence of Jamming" (submitted to Computer Science Review). It contains the list of the 79 studies included in the synthesis with complete DOIs (CSV and BibTeX, keyed to the manuscript's citations), t…
  datacite Abu Aram, Layth, Eldesouky, Omar, Oligeri, Gabriele, Di Pietro, Roberto 2026 置信度 0.66 UAVpath planningjamminganti-jammingsystematic review
• Plasma Defensive Shield and Tensorial Melting of Incoming Projectiles at 30,000°C Plasma Boundary Along National Borders. The Defensive Equilibrium Shifts from Conventional Interception to Plasma-Induced Melting of Incoming Projectiles Within a Polished Plasma Wall 5 Kilometers Thick, 50,000 Feet High, and Capped with Superheated Plasma. This System Is Designed to Counter Intercontinental Ballistic Missiles, Nuclear and Thermonuclear Bombs, Advanced Fighter Jets, Various Missile Types, and Drones, Utilizing 1155-Dimensional Tensor Mechanics as Described by Hamzah Equation.
  بنا بر پروتکل استراتژیک «۱۲ مرحله‌ای ریدو» (Redo) و با استناد به نقشه‌راه جامع بنیاد کوانتومی حمزه (HQI)، ابر-لاگرانژی جهانی سیستم پدافند پلاسمایی و رادار تانسوری ۱۱۵۵ بُعدی جهت ابطال همه‌جان��ه تسلیحات نسل جدید، از تسلیحات فضایی تا ریز-پرنده‌ها، به شرح زیر تب…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Plasma Defensive Shield and Tensorial Melting of Incoming Projectiles at 30,000°C Plasma Boundary Along National Borders. The Defensive Equilibrium Shifts from Conventional Interception to Plasma-Induced Melting of Incoming Projectiles Within a Polished Plasma Wall 5 Kilometers Thick, 50,000 Feet High, and Capped with Superheated Plasma. This System Is Designed to Counter Intercontinental Ballistic Missiles, Nuclear and Thermonuclear Bombs, Advanced Fighter Jets, Various Missile Types, and Drones, Utilizing 1155-Dimensional Tensor Mechanics as Described by Hamzah Equation.
  بنا بر پروتکل استراتژیک «۱۲ مرحله‌ای ریدو» (Redo) و با استناد به نقشه‌راه جامع بنیاد کوانتومی حمزه (HQI)، ابر-لاگرانژی جهانی سیستم پدافند پلاسمایی و رادار تانسوری ۱۱۵۵ بُعدی جهت ابطال همه‌جانبه تسلیحات نسل جدید، از تسلیحات فضایی تا ریز-پرنده‌ها، به شرح زیر تبی…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66