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• UAV Swarm Communication Aware Formation Control via Deep Q Network
  We propose a DQN based reinforcement learning method in swarm communication constraint based formation control with target searching function. A decentralized communication performance indicator is applied in evaluating the UAV's formation control in simulatin…
  crossref Chengtao Xu, Kai Zhang, Houbing Song 2021-06-21T21:22:28Z 置信度 0.74
• An intelligent SA-adaptive interface to aid supervisory control of a UAV swarm
  Building and maintaining Situation Awareness (SA) during supervisory control of a swarm of highly automated Unmanned Aerial Vehicles (UAV) is a complex and visually demanding process, which is often affected by weak scanning behaviors of the human operators. A…
  crossref Florian Fortmann, Andreas Ludtke 2013-10-17T21:49:48Z 置信度 0.72
• Logical Shepherd Assisting Air Traffic Controllers for Swarm UAV Traffic Control Systems
  crossref Heba El-Fiqi, Kathryn Kasmarik, Hussein A. Abbass 2021-03-19T14:07:40Z 置信度 0.64
• UAV Swarm Resilience Assessment Considering Load Balancing
  UAV swarm are often subjected to random interference or malicious attacks during the execution of their tasks, resulting in UAV failure or communication interruption. When the UAV swarm is out of interference or the repair command is executed, the performance …
  crossref Pengtao Zhang, Tao Wu, Runhua Cao, Zi Li 等 2022-01-31T06:15:56Z 置信度 0.79 eess.spcs.nics.rocs.iteess.sy
• Adaptive UAV Swarm Mission Planning by Temporal Difference Learning
  The prevalence of Unmanned Aerial Vehicles (UAVs) in precision agriculture has been growing rapidly. This paper tackles the UAV global mission planning problem by incorporating a greater capacity for human-machine teaming in the architecture of a flexibly auto…
  crossref Shreevanth Krishnaa Gopalakrishnan, Saba Al-Rubaye, Gokhan Inalhan 2021-11-15T17:56:19Z 置信度 0.74
• Swarm Intelligent Route Planning of UAV with Elastic Track Correction
  Main purpose of UAV path planning are shorten the distance, avoid flight threats and obstacles. Planning feasible path intervals is the basis of path planning. In long-distance, multi-obstacle path planning, it is more important to plan a reasonable distance a…
  crossref Liu Weitong, Lou Wenzhong, Wang Jinkui, Zhao Yueceng 2020-02-14T10:13:18Z 置信度 0.74
• Federated Energy-Aware Deep Reinforcement Learning for GNSS-Independent Swarm UAV Autonomy
  Achieving scalable swarm autonomy in Global Navigation Satellite System (GNSS)-denied and communication-constrained environments remains an open challenge at the intersection of robotics, distributed optimization, and reinforcement learning. Existing unmanned …
  crossref Nikolaos Almalis, George Tsihrintzis, George Baris, Nikolaos Armenakis 2026-07-13T08:05:31Z 置信度 0.82 computer and information sciencescs.aielectrical engineering, electronic engineering, information engineeringroboticsreinforcement learning
• Configurable virtual MIMO via UAV swarm: Channel modeling and spatial correlation analysis
  Air-to-ground wireless channel modeling for unmanned aerial vehicle (UAV) communications has been widely studied. However, channel modeling for UAV swarm-enabled cooperative communication still needs investigation, where the impact of UAV positions on the spat…
  crossref Jiachen Qian, Jue Wang, Shi Jin 2022-05-10T15:50:31Z 置信度 0.74
• K-DPSA: A hierarchical surrogate-assisted evolutionary algorithm for expensive constrained multi-objective optimization with application to UAV path planning
  crossref Ai-Qing Tian, Fei-Fei Liu, Shao-Quan Ni, Jeng-Shyang Pan 2026-08-06T17:59:39Z 置信度 0.66
• Consensus Analysis of UAV Swarm Cooperative Situation Awareness
  UAV swarm cooperative situation awareness (SA) and situation sharing is the basis of swarm cooperative decision and control. Swarm cooperative SA consensus is an important factor affecting swarm consistent decision-making. The related studies of consensus anal…
  crossref Haifeng Zhu, Jinliang Li, Yang Gao, Guobing Cheng 2021-09-21T16:45:17Z 置信度 0.74
• UAV swarm neural network: infrastructure of relevant telecommunication systems
  In the article it is compared the architecture options of artificial neural networks, the elements of which are placed on unmanned aerial vehicles, in particular light and ultralight, and the physical infrastructure of the corresponding telecommunication syste…
  crossref Nickolay Pechurin, Lyudmila Kondratova 2024-01-05T19:29:24Z 置信度 0.76
• A Hardware-in-the-Loop Simulation Platform for UAV Swarm Decision-Making
  crossref Ziwei Xin, Jie Li, Ziquan Wang, Juan Li 2022-07-29T03:16:37Z 置信度 0.64
• DQN-Based Routing Resources Optimization in UAV Swarm Communication System
  Unmanned Aerial Vehicles (UAVs) can collect a wide variety of data in the air and then transmit them to the ground stations, because of the limited capability of a single UAV, the application of UAV swarm communication system is becoming more and more widespre…
  crossref Jie Li, Xiaoyu Dang, Sai Li 2024-02-02T18:25:28Z 置信度 0.76
• Cascade PID Control of Quadrotor UAV Based on Particle Swarm Optimization Algorithm
  This paper addresses the parameter tuning problem of cascade PID control for quadrotor UAVs, which are characterized by nonlinearity, strong coupling, and underactuation. An improved particle swarm optimization (PSO) algorithm is proposed to optimize the param…
  crossref Chen Hanwen 2026-07-03T02:37:59Z 置信度 0.76
• SACRED EYE: Secure Communication and Decentralized Monitoring for Swarm UAV Mission Completion
  The flexibility, scalability, and robustness of Unmanned Aerial Vehicle (UAV) swarms make them highly adaptable to dynamic environments. However, these advantages also introduce a range of optimization challenges, including constraints on size, weight, and ene…
  crossref Hugo Le Dirach, Amin Rezaei 2026-02-11T20:54:04Z 置信度 0.76
• On the optimization of UAV Swarm ACO-Based Path Planning
  Unmanned Aerial Vehicles (UAVs) play a crucial role in various operations, especially where human life must be protected. Efficient path planning and autonomous coordination are critical for UAV swarms in dynamic 3D cooperative missions, where real-time adapta…
  crossref Areej Alabbadi, Belal Sababha 2025-09-01T16:23:26Z 置信度 0.82 cs.roelectrical engineering, electronic engineering, information engineeringcomputer and information sciencescomputer sciencesystems and control
• Lightweight PUF-Based Mutual Authentication Protocol for Zero-Trust UAV Swarm Environments
  Access ManagementAccess Management is how an agency authenticates enterprise identities and authorizes appropriate access to protected services. CapabilityThe ability to achieve a desired effect under specified standards and conditions through combinations of …
  crossref Duhyun Baek, Taeshik Shon, Chanki Jeong 2026-08-10T08:40:47Z 置信度 0.76
• RGSO-UAV: Reverse Glowworm Swarm Optimization inspired UAV path-planning in a 3D dynamic environment
  crossref Aparajita Chowdhury, Debashis De 2022-12-06T20:32:01Z 置信度 0.64
• Attitude and position estimation for an UAV swarm using consensus Kalman filtering
  This paper presents the application of a distributed attitude and position estimation algorithm to a swarm of cooperating UAVs with heterogeneous sensors on board. The algorithm, based on a Consensus Extended Kalman Filtering (CEKF) to account for nonlineariti…
  crossref E. D'Amato, I. Notaro, M. Mattei, G. Tartaglione 2015-08-12T18:47:54Z 置信度 0.72
• MOEA/D based UAV swarm deployment for wireless coverage
  In recent years, unmanned aerial vehicles (UAVs) have been widely used as flying-based stations to provide wireless coverage services to ground users. Owing to the UAV's limited battery capacity and coverage range, its energy consumption or coverage have been …
  crossref Shanshan Lu, Xiao Zhang, Yu Zhou, Shilong Sun 2021-05-25T20:12:01Z 置信度 0.74
• Rice tiller number estimation based on an improved Swin-UNet model and multi-feature fusion.
  Rice early tillering characteristics are key indicators for high-yield breeding, with tiller number and tillering rate as core parameters. High-throughput, temporal, and precise monitoring of tiller numbers via drone digital imagery provides quantitative suppo…
  europepmc 2025 置信度 0.83
• Improved decisions for unknown behaviours in interactive dynamic influence diagrams.
  Interactive dynamic influence diagrams (I-DIDs) are a general decision framework for a subject agent who interacts with other agents (of either collaborative or competitive) in a common environment with partial observability. The subject agent aims to optimize…
  europepmc 2025 置信度 0.87
• Enhanced multi agent coordination algorithm for drone swarm patrolling in durian orchards.
  This study proposes an enhanced multi-agent swarm control algorithm (EN-MASCA) to solve the problem of efficient patrolling of drone swarms in complex durian orchard environments. It introduces a virtual navigator model to dynamically adjust the patrol path of…
  europepmc 2025 置信度 0.87
• A review of remote sensing-based crop yield estimation: machine learning techniques and environmental, algorithmic, and hardware limitations.
  Advancements in agricultural technologies have increasingly emphasized technical innovations aimed at improving the predictability and reliability of agricultural outputs. These aspects encompass developments in agricultural machinery, automation technologies,…
  europepmc 2026 置信度 0.94 computer scienceartificial intelligencedata scienceengineeringsustainability
• Higher-Order Thinking Skills Optimizer: A Metaheuristic Algorithm Inspired by Human Behavior and Its Application in Real-World Constrained Engineering Optimization Problems.
  With the increasing complexity of optimization problems, existing methods are often inadequate for addressing these challenges, creating a pressing need for more versatile and robust approaches capable of solving a wide range of optimization problems. Meta-heu…
  europepmc 2026 置信度 0.87
• A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions.
  Unmanned aerial vehicle (UAV) path planning is a constrained multi-objective optimization problem. With the increasing scale of UAV applications, finding an efficient and safe path in complex real-world environments is crucial. However, existing particle swarm…
  europepmc 2025 置信度 0.87
• ChebIoD: a Chebyshev polynomial-based lightweight authentication scheme for internet of drones environments.
  The Internet of Drones (IoD) brings an unprecedented prospect for massive aerial data acquisition; on the other hand, it meets severe hindrances in how to accomplish robust, secure, and economic identity authentication with the limited resources available. In …
  europepmc 2025 置信度 0.87
• Custom UAV with model predictive control for autonomous static and dynamic trajectory tracking in agricultural fields.
  Introduction This study introduces a custom-built uncrewed aerial vehicle (UAV) designed for precision agriculture, emphasizing modularity, adaptability, and affordability. Unlike commercial UAVs restricted by proprietary systems, this platform offers full cus…
  europepmc 2025 置信度 0.94 computer and information sciencesroboticselectrical engineering, electronic engineering, information engineeringcomputer sciencecs.ro
• Collective properties of Petitella georgiae in tube environments.
  The movement of biological swarms is widespread in nature, and collective behavior enhances a swarm's adaptability to its environment. However, most research focuses on free swarm movement, overlooking the impact of environmental constraints such as tubes. Thi…
  europepmc 2024 置信度 0.83
• Task-Offloading Optimization Using a Genetic Algorithm in Hybrid Fog Computing for the Internet of Drones.
  Research and development on task offloading over the Internet of Drones (IoD) has expanded rapidly in the last few years. Task offloading in a fog IoD environment is very challenging due to the high dynamics of the IoD topology, which cause intermittent connec…
  europepmc 2025 置信度 0.87
• Graduate Student Evolutionary Algorithm: A Novel Metaheuristic Algorithm for 3D UAV and Robot Path Planning.
  In recent years, numerical optimization, UAVs, and robot path planning have become hot research topics. Solving these fundamental artificial intelligence problems is crucial for further advancements. However, traditional methods struggle with complex nonlinear…
  europepmc 2025 置信度 0.87
• Multiple elite strategy enhanced RIME algorithm for 3D UAV path planning.
  With the wave of artificial intelligence sweeping the world in recent years, UAVs is widely used in various fields. UAV path planning has attracted much attention from scientists as an essential part of UAV work. In order to design an efficient and reasonable …
  europepmc 2024 置信度 0.87
• Distributed Active Disturbance Rejection Formation Tracking Control for Quadrotor UAVs.
  pubmed Xu LX, Wang YL, Wang X, Peng C 2024 置信度 0.77
• Bionic 3D Path Planning for Plant Protection UAVs Based on Swarm Intelligence Algorithms and Krill Swarm Behavior.
  pubmed Xu N, Zhu H, Sun J 2024 置信度 0.77
• A Novel Technique for Drone Path Planning Based on a Neighborhood Dragonfly Algorithm.
  Autonomous aerial drone navigation is a rapidly growing topic of research due to its vast application in various indoor applications, including surveillance, search and rescue missions, and environmental monitoring. Current research focuses on the implementati…
  europepmc 2025 置信度 0.87
• Node Selection and Path Optimization for Passive Target Localization via UAVs.
  The performance of passive target localization is affected by the positions of unmanned aerial vehicles (UAVs) at a large scale. In this paper, to improve resource utilization efficiency and localization accuracy, the node selection problem and the path optimi…
  europepmc 2025 置信度 0.87
• Multi-UAV Cooperative Coverage Search for Various Regions Based on Differential Evolution Algorithm.
  In recent years, remotely controlling an unmanned aerial vehicle (UAV) to perform coverage search missions has become increasingly popular due to the advantages of the UAV, such as small size, high maneuverability, and low cost. However, due to the distance li…
  europepmc 2024 置信度 0.87
• Path Planning of Unmanned Aerial Vehicles Based on an Improved Bio-Inspired Tuna Swarm Optimization Algorithm.
  pubmed Wang Q, Xu M, Hu Z 2024 置信度 0.77
• Dynamic path planning of UAV with least inflection point based on adaptive neighborhood A* algorithm and multi-strategy fusion.
  Planning a safe and efficient global path in a complex three-dimensional environment is a complex and challenging optimization task. Existing planning algorithms are faced with problems such as lengthy path, too many inflection points and insufficient dynamic …
  europepmc 2025 置信度 0.87
• Hybrid Multi-Objective Chameleon Optimization Algorithm Based on Multi-Strategy Fusion and Its Applications.
  pubmed Chen Y, Cao L, Yue Y 2024 置信度 0.74
• Urban flood disaster prevention, control, and rescue using edge computing and the resilience concept.
  In recent years, global disasters have occurred frequently, and the continuous occurrence of urban rain and flood disasters has attracted the attention of the government and people from all walks of life. Therefore, it is necessary to study the evolution mecha…
  europepmc 2025 置信度 0.87
• Hybrid golden jackal and golden sine optimizer for tuning PID controllers.
  In the domain of control engineering, effectively tuning the parameters of proportional-integral-derivative (PID) controllers has persistently posed a challenge. This study proposes a hybrid algorithm (HGJGSO) that combines golden jackal optimization (GJO) and…
  europepmc 2024 置信度 0.87
• Addressing the Return Visit Challenge in Autonomous Flying Ad Hoc Networks Linked to a Central Station.
  Unmanned Aerial Vehicles (UAVs) have become essential tools across various sectors due to their versatility and advanced capabilities in autonomy, perception, and networking. Despite over a decade of experimental efforts in multi-UAV systems, substantial theor…
  europepmc 2024 置信度 0.87
• Butterfly magnetoreception based neighbour awareness strategy protocol for autonomous aerial vehicles.
  Autonomous Aerial Vehicles (AAVs) play a significant role in emergency response and disaster management, such as during forest fires, earthquakes, and tsunamis. However, navigating through high-density obstacle environments poses substantial challenges due to …
  europepmc 2025 置信度 0.87
• The specifics of the Galois field GF(257) and its use for digital signal processing.
  An algorithm of digital logarithm calculation for the Galois field G F ( 257 ) is proposed. It is shown that this field is coupled with one of the most important existing standards that uses a digital representation of the signal through 256 levels. It is show…
  europepmc 2024 置信度 0.87
• Towards applied swarm robotics: current limitations and enablers.
  Swarm robotics addresses the design, deployment, and analysis of large groups of robots that collaborate to perform tasks in a decentralized manner. Research in this field has predominantly relied on simulations or small-scale robots with limited sensing, actu…
  europepmc 2025 置信度 0.83
• From Network Sensors to Intelligent Systems: A Decade-Long Review of Swarm Robotics Technologies.
  Swarm Robotics (SR) is a relatively new field, inspired by the collective intelligence of social insects. It involves using local rules to control and coordinate large groups (swarms) of relatively simple physical robots. Important tasks that robot swarms can …
  europepmc 2025 置信度 0.94 computer scienceroboticscomputer and information sciencesdata scienceartificial intelligence
• Estimating Maize Leaf Water Content Using Machine Learning with Diverse Multispectral Image Features.
  Leaf water content (LWC) is a key physiological parameter for assessing maize moisture status, with direct implications for crop growth and yield. Accurate LWC estimation is essential for water resource management and precision agriculture. This study introduc…
  europepmc 2025 置信度 0.87
• Algorithm for UAV path planning in high obstacle density environments: RFA-star.
  Path planning is one of the key elements for achieving rapid and stable flight when unmanned aerial vehicles (UAVs) are conducting monitoring and inspection tasks at ultra-low altitudes or in orchard environments. It involves finding the optimal and safe route…
  europepmc 2024 置信度 0.87
• Classification of Unmanned Aerial Vehicles Based on Acoustic Signals Obtained in External Environmental Conditions.
  Detection of unmanned aerial vehicles (UAVs) and their classification on the basis of acoustic signals recorded in the presence of UAVs is a very important source of information. Such information can be the basis of certain decisions. It can support the autono…
  europepmc 2024 置信度 0.87
• A UAV path planning algorithm for bridge construction safety inspection in complex terrain.
  In response to the challenge of rapid unmanned aerial vehicles (UAV) path planning for bridge construction in complex terrain, this paper presents an enhanced snake optimization (CSGLSO) UAV three-dimensional path planning algorithm. Initially, this study enha…
  europepmc 2025 置信度 0.87
• Enhancing Target Tracking: A Novel Grid-Based Beetle Antennae Search Algorithm and Confusion-Aware Detection.
  Unmanned aerial vehicle target tracking is a complex task that encounters challenges in scenarios involving limited computing resources, real-time requirements, and target confusion. This research builds on previous work and addresses challenges by proposing a…
  europepmc 2024 置信度 0.87
• Binocular stereo vision-based relative positioning algorithm for drone swarm.
  To address the challenges of high computational complexity and poor real-time performance in binocular vision-based Unmanned Aerial Vehicle (UAV) formation flight, this paper introduces a UAV localization algorithm based on a lightweight object detection model…
  europepmc 2025 置信度 0.87
• Performance analysis of hybrid optimization approach for UAV path planning control using FOPID-TID controller and HAOAROA algorithm.
  In this study, we present a comparative analysis of various trajectory optimization algorithms for Unmanned Aerial Vehicles (UAVs) navigating complex environments. The performance of the proposed FOPID-TID based HAOAROA (Hybrid Archimedes Optimization Algorith…
  europepmc 2025 置信度 0.87
• Empowering drones in vehicular network through fog computing and blockchain technology.
  The performance of drones, especially for time-sensitive tasks, is critical in various applications. Fog nodes strategically placed near IoT devices serve as computational resources for drones, ensuring quick service responses for deadline-driven tasks. Howeve…
  europepmc 2025 置信度 0.87
• Long-Endurance Collaborative Search and Rescue Based on Maritime Unmanned Systems and Deep-Reinforcement Learning.
  Maritime vision sensing can be applied to maritime unmanned systems to perform search and rescue (SAR) missions under complex marine environments, as multiple unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs) are able to conduct vision sensi…
  europepmc 2025 置信度 0.87
• Dual-loop control and state prediction analysis of QUAV trajectory tracking based on biological swarm intelligent optimization algorithm.
  Quadrotor unmanned aerial vehicles (QUAVs) have attracted significant research focus due to their outstanding Vertical Take-Off and Landing (VTOL) capabilities. This research addresses the challenge of maintaining precise trajectory tracking in QUAV systems wh…
  europepmc 2024 置信度 0.87
• A Two-Stage Location-Allocation Optimization Method for Fixed UAV Nests in Power Inspection Considering Node Failure Scenarios.
  This paper explores the configuration and deployment of UAV nests for power inspection operations, focusing on potential nest failures. It proposes a two-stage location-allocation method. The problem is divided into two subproblems, each modeled as an integer …
  europepmc 2025 置信度 0.87
• Enhanced Nutcracker Optimization Algorithm with Hyperbolic Sine-Cosine Improvement for UAV Path Planning.
  Three-dimensional (3D) path planning is a crucial technology for ensuring the efficient and safe flight of UAVs in complex environments. Traditional path planning algorithms often find it challenging to navigate complex obstacle environments, making it challen…
  europepmc 2024 置信度 0.87
• Cloud-edge-device collaborative computing in smart agriculture: architectures, applications, and future perspectives.
  Smart agriculture is rapidly evolving in response to growing global demands for food security and sustainable resource management. Cloud-edge-device collaborative computing has emerged as a transformative paradigm, addressing the limitations of traditional cen…
  europepmc 2025 置信度 0.87
• Inversion of nitrogen content in apple leaves using an explainable PSO-CNN model.
  Introduction The integration of hyperspectral technology with machine learning and deep learning algorithms offers an effective method for accurately and non-destructively estimating the percentage of nitrogen in apple tree leaves, as well as for rapid nutrien…
  europepmc 2026 置信度 0.87
• An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.
  UAV-based plant protection represents an efficient, energy-saving agricultural technology with significant potential to enhance tea production. However, the complex terrain of hilly and mountainous tea fields, coupled with the limited endurance of UAVs, presen…
  europepmc 2024 置信度 0.87
• Enhanced snow ablation optimizer using dynamic tangential flight and elite guidance strategy.
  The snow ablation optimizer (SAO) represents a novel metaheuristic algorithm tailored for addressing real-world optimization challenges. However, SAO exhibits certain drawbacks, including a tendency to get trapped in local optima, a sluggish convergence rate, …
  europepmc 2025 置信度 0.87
• Tethered Balloon Cluster Deployments and Optimization for Emergency Communication Networks.
  Natural disasters can severely disrupt conventional communication systems, hampering relief efforts. High-altitude tethered balloon base stations (HATBBSs) are a promising solution to communication disruptions, providing wide communication coverage in disaster…
  europepmc 2024 置信度 0.87
• Secure UAV adhoc network with blockchain technology.
  Recent advances in aerial robotics and wireless transceivers have generated an enormous interest in networks constituted by multiple compact unmanned aerial vehicles (UAVs). UAV adhoc networks, i.e., aerial networks with dynamic topology and no centralized con…
  europepmc 2024 置信度 0.87
• A novel multi-objective dung beetle optimizer for Multi-UAV cooperative path planning.
  Path planning for multiple unmanned aerial vehicles (UAVs) is crucial in collaborative operations and is commonly regarded as a complicated, multi-objective optimization problem. However, traditional approaches have difficulty balancing convergence and diversi…
  europepmc 2024 置信度 0.87
• Multi-UAV Redeployment Optimization Based on Multi-Agent Deep Reinforcement Learning Oriented to Swarm Performance Restoration.
  Distributed artificial intelligence is increasingly being applied to multiple unmanned aerial vehicles (multi-UAVs). This poses challenges to the distributed reconfiguration (DR) required for the optimal redeployment of multi-UAVs in the event of vehicle destr…
  europepmc 2023 置信度 0.84
• Adaptive Hybrid PSO-APF Algorithm for Advanced Path Planning in Next-Generation Autonomous Robots.
  The field of autonomous robotics is progressing rapidly, with research moving toward developing systems capable of moving without direct human control and learning without human intervention. One of the problems requiring an efficient and sustainable solution …
  europepmc 2025 置信度 0.87
• A Shortest Distance Priority UAV Path Planning Algorithm for Precision Agriculture.
  Unmanned aerial vehicles (UAVs) have made significant advances in autonomous sensing, particularly in the field of precision agriculture. Effective path planning is critical for autonomous navigation in large orchards to ensure that UAVs are able to recognize …
  europepmc 2024 置信度 0.94 computer sciencecomputer and information scienceselectrical engineering, electronic engineering, information engineeringcs.rounderwater
• Deep reinforcement learning framework for joint optimization of multi-RAT UAV location and user association in heterogeneous networks.
  The explosive growth of multimedia and Internet of Thing (IoT) devices has led to a huge increase in data traffic requirements with a reduced power consumption demands in 6G communications. In this work, a ground Multiple Radio Access Technology (Multi-RAT) He…
  europepmc 2025 置信度 0.87
• Collaborative robots (cobots) for disaster risk resilience: a framework for swarm of snake robots in delivering first aid in emergency situations.
  pubmed Moosavi SKR, Zafar MH, Sanfilippo F 2024 置信度 0.74
• A UAV path planning method based on the framework of multi-objective jellyfish search algorithm.
  Multi-constraint UAV path planning problems can be viewed as many-objective optimization problems that can be solved by meta-heuristic algorithms with good self-organizing optimization capabilities. However, such algorithms mostly use random initializing metho…
  europepmc 2024 置信度 0.87
• Solving multi-depot closed-path multiple traveling salesman problem using k-means++ hierarchical clustering and neural combinatorial networks.
  Traditional methods for solving the multiple traveling salesman problem (MTSP), such as metaheuristics, face a well-known trade-off between computational speed and solution quality. Neural combinatorial networks (NCNs) offer an efficient alternative for addres…
  europepmc 2026 置信度 0.83
• An integrated, simulation-based framework linking satellite fire patterns and wireless sensor network planning in Tunisia.
  Wildfire risk assessment and monitoring remain critical challenges in Mediterranean ecosystems, particularly in North Africa, where recurrent ignition patterns threaten forested landscapes and rural livelihoods. This study presents an integrated, simulation-ba…
  europepmc 2026 置信度 0.87
• Multi-strategy fusion improved Northern Goshawk optimizer is used for engineering problems and UAV path planning.
  Addressing the imbalance between exploration and exploitation, slow convergence, local optima Traps, and low convergence precision in the Northern Goshawk Optimizer (NGO): Introducing a Multi-Strategy Integrated Northern Goshawk Optimizer (MINGO). In response …
  europepmc 2024 置信度 0.87
• Foreign object detection in power transmission lines using SESYOLO.
  The complex environment of power transmission lines renders foreign object attachment to electrical equipment a frequent cause of faults. However, existing object detection frameworks struggle to accurately identify the types of foreign objects. This manuscrip…
  europepmc 2026 置信度 0.87
• A PSO-based energy-efficient data collection optimization algorithm for UAV mission planning.
  pubmed Lin L, Wang Z, Tian L, Wu J 等 2024 置信度 0.77
• Physiological sensing for situational awareness: a theory-driven integrative review of multimodal and unsupervised approaches for visual search and human-autonomy teaming.
  Situational awareness (SA) is fundamental to performance in visually demanding, safety-critical tasks and in human-autonomy teaming (HAT), yet existing measurement approaches remain limited. Direct probes such as SAGAT or SART disrupt task flow, while performa…
  europepmc 2026 置信度 0.87
• Recent Advances in Trajectory Planning and Object Recognition for Robot Sensing and Control.
  Nowadays, trajectory planning and control technology has been extensively utilized in industry, agriculture, service, construction, infrastructure inspection, military reconnaissance, disaster management, and other areas [...].
  europepmc 2024 置信度 0.85
• Real-world evaluat ion of hybrid Green AI for sustainable and efficient smart supply chain distribution.
  This paper proposes a hybrid Green AI framework for achieving sustainable physical distribution in smart supply chains. The framework integrates real-world geospatial data, multi-objective optimization, and meta-inference algorithms. It aims to reduce transpor…
  europepmc 2026 置信度 0.87
• Advanced Sensing Technologies in Structural Health Monitoring and Its Applications.
  Structural Health Monitoring (SHM) is an important area of research due to its strong connection with structural safety and the need to monitor and extend the lifespan of existing structures [...].
  europepmc 2025 置信度 0.81
• Hyperspectral inversion model of ginkgo leaf yield prediction based on machine learning.
  Introduction The yield of ginkgo biloba leaves serves as a critical indicator for assessing their growth and health status. However, current assessment methods primarily rely on manual harvesting and weighing, which are time-consuming, labor-intensive, ineffic…
  europepmc 2025 置信度 0.87
• Research on RTD Fluxgate Induction Signal Denoising Method Based on Particle Swarm Optimization Wavelet Neural Network.
  Aeromagnetic surveying technology detects minute variations in Earth's magnetic field and is essential for geological studies, environmental monitoring, and resource exploration. Compared to conventional methods, residence time difference (RTD) fluxgate sensor…
  europepmc 2025 置信度 0.87
• Analyzing the enhancement of CNN-YOLO and transformer based architectures for real-time animal detection in complex ecological environments.
  Automatic animal detection has become a critical capability in ecology, conservation, agriculture, and public safety, driven by the rapid growth of visual data collected through camera traps, UAVs, and remote sensors. The necessity of this study arises from th…
  europepmc 2025 置信度 0.87
• Multiple strategies improved spider wasp optimization for engineering optimization problem solving.
  The Spider Wasp Optimization (SWO) algorithm is a swarm intelligence optimization technique inspired by the collective behaviors of social animals. This algorithm, designed to address optimization challenges, emulates the unique hunting, nesting, and mating be…
  europepmc 2024 置信度 0.87
• Swift Flight Optimizer: a novel bio-inspired optimization algorithm based on swift bird behavior.
  Metaheuristic algorithms inspired by natural phenomena have become indispensable tools for addressing complex, high-dimensional, and multimodal optimization problems. Nevertheless, many existing approaches are constrained by premature convergence, stagnation, …
  europepmc 2025 置信度 0.87
• Application of fuzzy logic control theory combined with target tracking algorithm in unmanned aerial vehicle target tracking.
  This paper aims to increase the Unmanned Aerial Vehicle's (UAV) capacity for target tracking. First, a control model based on fuzzy logic is created, which modifies the UAV's flight attitude in response to the target's motion status and changes in the surround…
  europepmc 2024 置信度 0.87
• See farther and more: a master-slave UAVs based synthetic optical aperture imaging system with wide and dynamic baseline.
  pubmed Zhang Y, An P, Li Z, Liu Q 等 2024 置信度 0.74
• Pre-siting of UAV stations for traffic accident assessment considering road dispersion.
  This paper investigates the issue of pre-site selection for drone stations with the aim of enhancing the rapid assessment capability of urban road traffic accidents. Firstly, the influence of traffic accidents on urban traffic is analyzed, and the potential ap…
  europepmc 2025 置信度 0.87
• A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots.
  This paper presents a comprehensive review of path planning in dynamic environments. This review covers the entire process, starting from obstacle detection techniques, through path-planning strategies, and also extending to formation control and communication…
  europepmc 2024 置信度 0.87
• An Independent UAV-Based Mobile Base Station.
  In disaster scenarios, e.g., earthquakes, tsunamis, and wildfires, communication infrastructure often becomes severely damaged. To rapidly restore damaged communication systems, we propose a UAV-based mobile base station equipped with Public Safety LTE (PS-LTE…
  europepmc 2025 置信度 0.87
• Trajectory Optimization to Enhance Observability for Bearing-Only Target Localization and Sensor Bias Calibration.
  This study addresses the challenge of bearing-only target localization with sensor bias contamination. To enhance the system's observability, inspired by plant phototropism, we propose a control barrier function (CBF)-based method for UAV motion planning. The …
  europepmc 2024 置信度 0.87
• Predictive Forwarding Rule Caching for Latency Reduction in Dynamic SDN.
  In mission-critical environments such as industrial and military settings, the use of unmanned vehicles is on the rise. These scenarios typically involve a ground control system (GCS) and nodes such as unmanned ground vehicles (UGVs) and unmanned aerial vehicl…
  europepmc 2024 置信度 0.87
• Multi-UAV Cooperative Path Planning Using a Behavior-Adaptive Aquila Optimizer Under Multiple Constraints.
  Addressing the challenges of high dimensionality, strong nonlinearity, and multiple constraints in multi-UAV cooperative path planning, this paper proposes a Behavior-Adaptive Aquila Optimizer (EAO) achieved by enhancing Aquila Optimizer (AO). EAO constructs a…
  europepmc 2026 置信度 0.87
• Coverage Hole Recovery in Hybrid Sensor Networks Based on Key Perceptual Intersections for Emergency Communications.
  Wireless sensor networks (WSNs) have found extensive applications in a variety of fields, including military surveillance, wildlife monitoring, industrial process monitoring, and more. The gradual energy depletion of sensor nodes with limited battery energy le…
  europepmc 2025 置信度 0.87
• Minimizing Fuel Consumption for Surveillance Unmanned Aerial Vehicles Using Parallel Particle Swarm Optimization.
  This paper presents a method based on particle swarm optimization (PSO) for optimizing the power settings of unmanned aerial vehicle (UAVs) along a given trajectory in order to minimize fuel consumption and maximize autonomy during surveillance missions. UAVs …
  europepmc 2024 置信度 0.87
• Intelligent Path Planning with an Improved Sparrow Search Algorithm for Workshop UAV Inspection.
  pubmed Zhang J, Zhu X, Li J 2024 置信度 0.77
• Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion.
  pubmed Bai C, Yan P, Piao H, Pan W 等 2024 置信度 0.77
• An improve crested porcupine algorithm for UAV delivery path planning in challenging environments.
  With the rapid advancement of drone technology and the growing applications in the field of drone engineering, the demand for precise and efficient path planning in complex and dynamic environments has become increasingly important. Traditional algorithms stru…
  europepmc 2024 置信度 0.87
• Artificial intelligence-based intrusion detection and secure communication model for sustainable 6G-IoT networks.
  Intrusion detection systems (IDS) play a crucial role in safeguarding Internet of Things (IoT) systems by detecting and identifying malicious or unauthorized activities. The rapid proliferation of IoT devices has increased the requirement for robust network se…
  europepmc 2026 置信度 0.87