Investigating the effect of incident intensity on single-junction GaAs PV cells conversion efficiency at different temperatures by Junyue Zhang, Shunhua Wu, Jiachen Liu, Weizhou Huang, Lei Ling, Qingkai Meng, Rui Zhang, Lang Chen, Jiachen Zhang, Zhenfu Wang, Te Li

“…Laser Power Transmission is emerging as a highly promising method for wireless energy transfer, particularly for extending the operational endurance of small unmanned aerial vehicles and supporting the construction of space-based solar power stations. …”
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Multi-Objective Optimization for Resource Allocation in Space–Air–Ground Network with Diverse IoT Devices by Yongnan Xu, Xiangrong Tang, Linyu Huang, Hamid Ullah, Qian Ning

“…This paper discusses an uplink signal scenario in which various types of data collection sensors as IoT devices use Unmanned Aerial Vehicles (UAVs) as relays to forward signals to low-Earth-orbit satellites. …”
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Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing by Feifan Zhu, Fei Huang, Yantao Yu, Guojin Liu, Tiancong Huang

“…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. …”
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Impact of Driver Compliance and Aggressiveness in Connected Vehicles on Mixed Traffic Flow Efficiency: A Simulation Study by Chenhao Qian, Taojun Feng, Zhiyuan Li, Yanjun Ye, Shengwen Yang

“…The unique contribution of this research lies in the adoption of a clustering method to classify CV drivers’ compliance and aggressiveness based on trajectory data captured by Unmanned Aerial Vehicles (UAVs). This approach allows for the accurate calibration of car-following and lane-changing models, surpassing previous methodologies. …”
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Application of IoT-Based Drones in Precision Agriculture for Pest Control by Mohamad Reda. A. Refaai, Vinjamuri SNCH Dattu, N. Gireesh, Ekta Dixit, CH. Sandeep, David Christopher

“…Unmanned aerial vehicles (UAVs), commonly known as drones, have been progressively prevalent due to their capability to operate quickly and their vast range of applications in a variety of real-world circumstances. …”
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Robust Position Control of VTOL UAVs Using a Linear Quadratic Rate-Varying Integral Tracker: Design and Validation by Omer Saleem, Muhammad Kazim, Jamshed Iqbal

“…This article presents an optimal tracking controller retrofitted with a nonlinear adaptive integral compensator, specifically designed to ensure robust and accurate positioning of Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicles (UAVs) that utilize contra-rotating motorized propellers for differential thrust generation. …”
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Coastal Inlet Analysis by Image Color Intensity Variations: Implications for the Barrier Coast of Ukraine by Ilya V. Buynevich, Oleksiy V. Davydov, Duncan M. FitzGerald

“…Increasingly, remote sensing technologies (aerial and satellite imagery, small unmanned aerial vehicles, etc.) are employed as sources of high-definition spatial databases. …”
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Transmission line trip faults under extreme snow and ice conditions: a case study by Guojun Zhang

“…Moreover, the integration of unmanned aerial vehicles (UAVs) and artificial intelligence (AI)-based fault detection tools presents promising opportunities for improving remote monitoring capabilities and enabling proactive maintenance interventions. …”
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A Prediction Method of Electromagnetic Environment Effects for UAV LiDAR Detection System by Min Huang, Dandan Liu, Liyun Ma, Jingyang Wang, Yuming Wang, Yazhou Chen

“…With the rapid development of science and technology, UAVs (Unmanned Aerial Vehicles) have become a new type of weapon in the informatization battlefield by their advantages of low loss and zero casualty rate. …”
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Crane Lifting Optimization and Construction Monitoring in Steel Bridge Construction Project Based on BIM and UAV by Jiahao Tian, Sang Luo, Xinming Wang, Jing Hu, Jun Yin

“…Based on an overpass steel bridge construction project, this paper attempted to integrate the BIM and unmanned aerial vehicles (UAVs) to streamline lifting operation planning and construction monitoring. …”
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Technological Evolution of Architecture, Engineering, Construction, and Structural Health Monitoring of Bridges in Peru: History, Challenges, and Opportunities by Carlos Cacciuttolo, Esteban Muñoz, Andrés Sotil

“…Finally, it is concluded that the integration of technologies of sensors, the IoT (Internet of Things), AI (artificial intelligence), UAVs (Unmanned Aerial Vehicles), remote sensing, BIM (Building Information Modeling), and DfMA (Design for Manufacturing and Assembly), among others, will allow for more safe, reliable, durable, productive, cost-effective, sustainable, and resilient bridge infrastructures in Peru in the face of climate change.…”
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A two-stage hybrid NSGA-III with BWO for path planning and task allocation in agricultural land preparation. by Manxian Yang, Yanhong Chen, Yongke Li, Taihong Zhang, Tianlun Wu

“…In the initial stage, unmanned aerial vehicles (UAVs) are employed to collect data from the field, which is then used to construct accurate farm models. …”
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The Optimization of UAV-Assisted Downlink Transmission Based on RSMA by Lin Huang, Daiming Qu, Jianguo Zhou, Jialin Zhang

“…Unmanned Aerial Vehicles (UAVs) provide exceptional flexibility, making them ideal for mitigating communication disruptions in disaster-affected or high-demand areas. …”
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Comprehensive and Validated Computational Investigations of Structural Integrity, Aerodynamic Behavior, and Its Turbulence Characteristics on Agricultural Drone with and without Pa... by Beena Stanislaus Arputharaj, Shyam Sundar Jayakumar, Senthil Kumar Solaiappan, Vijayanandh Raja, Parvathy Rajendran, Maheswari Krishnamoorthy, Hari Prasath Jeyaraj, Senthil Kumar Madasamy, Ragavendra Thaiyan Rajendran, Ali Mahmood Ahmed

“…In recent years, multirotor unmanned aerial vehicles (MRUAVs) have seen increased investment and deployment for various novel uses, including intruder surveillance, agro farming, and crack detection in severe environments. …”
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LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery by Van Quang Nghiem, Huy Hoang Nguyen, Minh Son Hoang

“…Advances in Unmanned Aerial Vehicles (UAVs) and deep learning have spotlighted the challenges of detecting small objects in UAV imagery, where limited computational resources complicate deployment on edge devices. …”
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Collision Avoidance in Circular Motion of a Fixed-Wing Drone Formation Based on Rotational Modification of Artificial Potential Field by Tagir Muslimov

“…In coordinated circular motion of a group of autonomous unmanned aerial vehicles (UAVs or drones), it is important to ensure that collisions between them are avoided. …”
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Deep Reinforcement Learning Assisted UAV Path Planning Relying on Cumulative Reward Mode and Region Segmentation by Zhipeng Wang, Soon Xin Ng, Mohammed EI-Hajjar

“…In recent years, unmanned aerial vehicles (UAVs) have been considered for many applications, such as disaster prevention and control, logistics and transportation, and wireless communication. …”
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An approach for accurate identification and monitoring of species in mangrove forests based on multi-source spectral data and deep learning by Monterrubio-Martínez Erandi, Trujillo-Acatitla Rubicel, Tuxpan-Vargas José, Moreno-Casasola Patricia

“…First, the integration of photogrammetric analysis from unmanned aerial vehicles (UAVs) enables the precise determination of the spatial distribution of mangrove forests. …”
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YOLOv8s-Longan: a lightweight detection method for the longan fruit-picking UAV by Jun Li, Jun Li, Jun Li, Kaixuan Wu, Meiqi Zhang, Hengxu Chen, Hengyi Lin, Yuju Mai, Linlin Shi

“…IntroductionDue to the limited computing power and fast flight speed of the picking of unmanned aerial vehicles (UAVs), it is important to design a quick and accurate detecting algorithm to obtain the fruit position.MethodsThis paper proposes a lightweight deep learning algorithm, named YOLOv8s-Longan, to improve the detection accuracy and reduce the number of model parameters for fruitpicking UAVs. …”
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Large Language Models for UAVs: Current State and Pathways to the Future by Shumaila Javaid, Hamza Fahim, Bin He, Nasir Saeed

“…Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across diverse sectors, offering adaptable solutions to complex challenges in both military and civilian domains. …”
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