Ultralight aircraft and conventional digital cameras as an alternative for urban mapping by Román Edén Parra-Galaviz, Manuel de Jesús Pérez-Valdez, Omar Llanes-Cárdenas, Lennin Enrique Amador-Castro, Rafael Macías-Segura, Ciro de la Concepción Díaz-Hernández, Alberto Gaxiola

“…Mapping plays a crucial role in urban planning by assisting authorities in making informed decisions regarding city growth and infrastructure placement. Unmanned Aerial Vehicles (UAVs) are employed extensively for this purpose, owing to their ease of operation and advanced georeferencing capabilities facilitated by integrated cameras coupled with Global Navigation Satellite System (GNSS) devices. …”
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RETRACTED: An Infrared Small Target Detection Method Based on a Weighted Human Visual Comparison Mechanism for Safety Monitoring by Yuanyuan Chen, Huiqian Wang, Yu Pang, Jinhui Han, En Mou, Enling Cao

“…However, accurate infrared detection of small targets in real-time is challenging due to their small size and similarity in gray level and texture with the surrounding environment, as well as interference from the infrared imaging systems in unmanned aerial vehicles (UAVs). This article proposes a weighted local contrast method based on the contrast mechanism of the human visual system. …”
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PSiamRML: Target Recognition and Matching Integrated Localization Algorithm Based on Pseudo-Siamese Network by Jiwei Fan, Xiaogang Yang, Ruitao Lu, Xueli Xie, Siyu Wang

“…The positioning function of unmanned aerial vehicles (UAVs) is a challenging and fundamental research topic and is the premise for UAVs to realize autonomous navigation. …”
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High throughput phenotyping in soybean breeding using RGB image vegetation indices based on drone by Andressa K. S. Alves, Maurício S. Araújo, Saulo F. S. Chaves, Luiz Antônio S. Dias, Lucas P. Corrêdo, Gabriel G. F. A. Pessoa, André R. G. Bezerra

“…Abstract This study investigates the effectiveness of high-throughput phenotyping (HTP) using RGB images from unmanned aerial vehicles (UAVs) to assess vegetation indices (VIs) in different soybean pure lines. …”
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Trusted fuzzy routing scheme in flying ad-hoc network by Sahabul Alam, Joydeep Kundu, Shivnath Ghosh, Arindam Dey

“…Unmanned Aerial Vehicles (UAVs) bring both potential and difficulties for emergency applications, including packet loss and changes in network topology. …”
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Applications of unmanned vehicle systems for multi-spatial scale monitoring and management of aquatic ecosystems: A review by Xingzhen Liu, Long Ho, Stijn Bruneel, Peter Goethals

“…Our findings reveal a 12-fold increase in UVS applications in aquatic research during this period, with 60–70 % focusing on habitat monitoring and animal behavior research, and less than 10 % addressing algal blooms and eutrophication. Unmanned Aerial Vehicles (UAV), representing 70 % of the published applications, have been the primary research instrument, outpacing Unmanned Surface Vehicles (USV) and Autonomous Underwater Vehicles/Remotely Operated Vehicles (AUV/ROV). …”
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Maritime Small Object Detection Algorithm in Drone Aerial Images Based on Improved YOLOv8 by Peng Ling, Yihong Zhang, Shuai Ma

“…Combining unmanned aerial vehicles (UAVs) with deep learning algorithms offers an efficient, safe and inexpensive alternative to maritime search and rescue (mSAR) missions. …”
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A Comprehensive Review on Sensor Fusion Techniques for Localization of a Dynamic Target in GPS-Denied Environments by Shoude Wang, Nur Syazreen Ahmad

“…DTL involves real-time tracking of moving targets such as pedestrians, robots, vehicles, and Unmanned Aerial Vehicles (UAVs), which not only requires maintaining high accuracy in complex and dynamic environments but also demands the capability to handle the challenges posed by rapidly moving targets. …”
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A Deep-Learning Approach to a Volumetric Radio Environment Map Construction for UAV-Assisted Networks by Bethelhem S. Shawel, Dereje H. Woldegebreal, Sofie Pollin

“…This can be achieved by integrating airborne networks, such as unmanned aerial vehicles (UAVs) and satellite networks, with terrestrial networks. …”
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Impact of distortions in UAV images on quality and accuracy of object localization by Rostyslav Tsekhmystro, Oleksii Rubel, Oleksandr Prysiazhniuk, Vladimir Lukin

“…Imaging systems installed on-board unmanned aerial vehicles (UAVs) and drones have become popular recently, and they are potentially beneficial for numerous applications like mine detection, traffic control, and crowd control. …”
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Pursuit on the plane by objects moving away from the trajectory of defending object, with simulation of detection area by A. А. Dubanov, T. V. Ausheev

“…The results of the research can be in demand in the design of unmanned aerial vehicles with elements of autonomous control and artificial intelligence.…”
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Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data by Youssra Cheriguene, Wael Jaafar, Halim Yanikomeroglu, Chaker Abdelaziz Kerrache

“…When participants are unmanned aerial vehicles (UAVs), UAV-enabled FL would experience heterogeneity due to the majorly skewed (non-independent and identically distributed -IID) collected data. …”
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Experimental Investigation of Dispersant on Dynamics of Impact of Al₂O₃ Nanofluid Droplet by Dandan Liang, Ruichao Guo, Zichun Sun, Haizhen Zhao, Guohua Qin, Yongxin Zhang

“…Spray cooling, of which the essence is droplet impacting, is an efficient thermal management technique for dense electronic components in unmanned aerial vehicles (UAVs). Nanofluids are pointed as promising cooling dispersions. …”
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Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection by Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah, Anis Koubaa

“…This study aimed to develop an efficient method for detecting and locating individual palm trees using unmanned aerial vehicles (UAVs) equipped with RS technology and deep learning algorithms.We conducted a comparative evaluation of four variations of YOLOv5 (YOLOv5-6l, YOLOv5-L, and YOLOv5-L-HighAug) and one variation of YOLOv8 (YOLOv8-HighAug). …”
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Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols by Shoji Taniguchi, Toshihiro Sakamoto, Haruki Nakamura, Yasunori Nonoue, Di Guan, Akari Fukuda, Hirofumi Fukuda, Kaede C. Wada, Takuro Ishii, Jun-Ichi Yonemaru, Daisuke Ogawa

“…Unmanned aerial vehicles (UAVs) are one of the most effective tools for crop monitoring in the field. …”
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Evaluation of 3D Models of Archaeological Remains of Almenara Castle Using Two UAVs with Different Navigation Systems by Juan López-Herrera, Serafín López-Cuervo, Enrique Pérez-Martín, Miguel Ángel Maté-González, Consuelo Vara Izquierdo, José Martínez Peñarroya, Tomás R. Herrero-Tejedor

“…Improvements in the navigation systems incorporated into unmanned aerial vehicles (UAVs) and new sensors are improving the quality of 3D mapping results. …”
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Advancements in Public First Responder Programs for Out-of-Hospital Cardiac Arrest: An Updated Literature Review by Michael Kern, Gerrit Jansen, Bernd Strickmann, Thoralf Kerner

“…Additionally, the potential of unmanned aerial vehicles (drones) to deliver AEDs rapidly to OHCA sites has been demonstrated, particularly in rural areas with extended emergency medical services response times. …”
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An Energy-Balanced Path Planning Algorithm for Multiple Ferrying UAVs Based on GA by Lisong Wang, Xiaoliang Zhang, Pingyu Deng, Jiexiang Kang, Zhongjie Gao, Liang Liu

“…When performing a search and rescue mission, unmanned aerial vehicles (UAVs) should continuously search targets above the mission area. …”
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Predictive Forwarding Rule Caching for Latency Reduction in Dynamic SDN by Doosik Um, Hyung-Seok Park, Hyunho Ryu, Kyung-Joon Park

“…These scenarios typically involve a ground control system (GCS) and nodes such as unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs). The GCS and nodes exchange different types of information, including control data that direct unmanned vehicle movements and sensor data that capture real-world environmental conditions. …”
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UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods by Minghu Zhao, Dashuai Wang, Qing Yan, Zhuolin Li, Xiaoguang Liu

“…Maize lodging is a prevalent stress that can significantly diminish corn yield and quality. Unmanned aerial vehicles (UAVs) remote sensing is a practical means to quickly obtain lodging information at field scale, such as area, severity, and distribution. …”
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