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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Deformation and movement characteristics of debris flow landslide: A case study of the Shaziba landslide in Enshi, China by Zijian SHI, Wen CHEN, Yifan SHENG, Guangli XU

“…To explore its kinematic features, such as velocity and displacement, during the Shaziba landslide’s sliding process and the evolving patterns of the landslide mass, a three-dimensional numerical model of the landslide was constructed using high-precision ortho-images obtained from unmanned aerial vehicles (drones). The parameters of the model were calibrated based on the mechanical properties of the landslide mass obtained from laboratory tests. …”
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Lighting Spectrum Optimization With Deep Learning for Moss Species Classification by Kenichi Ito, Pauli Falt, Markku Hauta-Kasari, Shigeki Nakauchi

“…Remote sensing technology using satellite imagery and unmanned aerial vehicles (UAVs) reduces labor, but it is difficult to determine the species that are surrounded by a canopy in forests. …”
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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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UAV-Based Survey of the Earth Pyramids at the Kuklica Geosite (North Macedonia) by Ivica Milevski, Bojana Aleksova, Slavoljub Dragićević

“…Instead, new tools are increasingly being used for such tasks, including UAVs (unmanned aerial vehicles) and LiDAR (Light Detection and Ranging). …”
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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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Моделі самоорганізації колективу однорідних безпілотних літальних апаратів при рішенні слабоформалізованих завдань... by А.В. Тристан, Д.І. Жуков

“… The development and modernization of unmanned aerial vehicles (UAVs), their control systems, safety and regulation, expansion of functionality, miniaturization and increase of sensor performance, improvement of energy capabilities and routing process, increase of autonomy, contributes to the improvement of the performance of tasks. …”
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Multi-UAV Task Assignment in Dynamic Environments: Current Trends and Future Directions by Shahad Alqefari, Mohamed El Bachir Menai

“…The rapid advancement of unmanned aerial vehicles (UAVs) has transformed a wide range of applications, including military operations, disaster response, agricultural monitoring, and infrastructure inspection. …”
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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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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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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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Prediction of Soil Organic Carbon Content in <italic>Spartina alterniflora</italic> by Using UAV Multispectral and LiDAR Data by Jiannan He, Yongbin Zhang, Mingyue Liu, Lin Chen, Weidong Man, Hua Fang, Xiang Li, Xuan Yin, Jianping Liang, Wenke Bai, Fuping Li

“…Based on 73 measured samples, along with multispectral imagery and LiDAR data collected via unmanned aerial vehicles, machine learning techniques, including random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBoost), were employed to predict the SOC content of <italic>S. alterniflora</italic> and map its spatial distribution. …”
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Construction of a Real-Scene 3D Digital Campus Using a Multi-Source Data Fusion: A Case Study of Lanzhou Jiaotong University by Rui Gao, Guanghui Yan, Yingzhi Wang, Tianfeng Yan, Ruiting Niu, Chunyang Tang

“…Firstly, oblique photography based on unmanned aerial vehicles (UAVs) is used to capture large-scale, high-resolution images of the campus area, which are then processed using open-source software to generate an initial 3D model. …”
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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

“…Multispectral sensors mounted on unmanned aerial vehicles (UAVs) can obtain high spatiotemporal resolution imagery of rubber plantations, offering significant advantages in capturing fine structural details and heterogeneity. …”
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A Pine Wilt Disease Detection Model Integrated with Mamba Model and Attention Mechanisms Using UAV Imagery by Minhui Bai, Xinyu Di, Lechuan Yu, Jian Ding, Haifeng Lin

“…This paper presents a fusion model, which integrates the Mamba model and the attention mechanism, for deployment on unmanned aerial vehicles (UAVs) to detect infected pine trees. …”
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Design of Command and Dispatch System for Automatic Reading of Meter Images in Substations by UAV Inspection Photos by Guanghong Deng, Liangpei Lin, Baihao Lin, Wenlong Jing, Xiaodan Zhao, Yong Li, Rui Yang, Shidun Xie, Pengfeng Wei

“…The application of the combination of unmanned aerial vehicles (UAVs) and artificial intelligence is a hot topic in the intelligent inspection of substations, and meter reading is a very challenging task. …”
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Novel image registration algorithm for scene-matching navigation by Hongrui YANG, Qiju ZHU, Peixian CAO, Hao GU, Dongdong ZHAO

“…High-precision positioning and navigation technology are crucial for the autonomous operation of unmanned aerial vehicles (UAVs), enabling them to determine their location and navigate to predetermined destinations without human intervention. …”
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Framework for smartphone-based grape detection and vineyard management using UAV-trained AI by Sergio Vélez, Mar Ariza-Sentís, Mario Triviño, Antonio Carlos Cob-Parro, Miquel Mila, João Valente

“…On one hand, drone, or Unmanned Aerial Vehicles (UAV) imagery combined with deep learning algorithms has revolutionised agriculture by automating plant health classification, disease identification, and fruit detection. …”
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DEVELOPING INFORMATION AND TECHNOLOGICAL COMPETENCE OF PROSPECTIVE MILITARY SAILORS by Ruslan Shevchenko, Oleh Cherniavskyi, Vasyl Shemchuk, Olena Zlobina, Natalia Benkovska, Nataliia Terentieva, Андрій Гуралюк

“…In the framework of our research we understand this competence as an integral quality of a person which combines motivation, knowledge, skills, experience in the use of modern information technologies during professional activities related to the performance of duties of future officers of the Ukrainian Navy of the Armed Forces of Ukraine (including  management of combat modules, unmanned aerial vehicles, digital weapons, the possibility of using artificial intelligence in combat systems, ensuring cyber security of weapons and military equipment, etc.). …”
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