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LEF & ICLU 2026: Low-Altitude Economy Forum & International Conference on Low-Altitude Flight Technology and Unmanned Aerial Vehicle Application

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投稿締切日:
2026-08-26
通知日:
2026-09-22
開催日:
2026-11-06
開催地:
Guilin, China
開催回数:
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LEF & ICLU
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会伴インデックス (CP-I)

42.7 / 100
全 5,694 件中 第 3,988 位 · 上位 71%

ロボティクス・制御 分野 470 件中 第 288 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
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開催回数 (20%)
30
コミュニティの注目度 (10%)
10
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数:2 · 過去 24 か月にこのページを開いた研究者:3 人

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論文募集

LEF & ICLU 2026 (Low-Altitude Economy Forum & International Conference on Low-Altitude Flight Technology and Unmanned Aerial Vehicle Application) is an academic conference held in Guilin, China on 2026-11-06. The paper submission deadline is 2026-08-26. Acceptance notifications are sent on 2026-09-22.

2026 2nd Low-Altitude Economy Forum & International Conference on Low-Altitude Flight Technology and Unmanned Aerial Vehicle Application (LEF & ICLU 2026) will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The topics of interest for submission include, but are not limited to: · Design and Optimization of Drone Power Systems · Power Management Technologies for Drones · New Battery Technologies and Energy Storage for Drones · Application of Wireless Charging Technology in Drones · Autonomous Navigation and Intelligent Control Systems for Drones · Cooperative Control Technologies for Multiple Drones · Application of Machine Learning in Drone Image Processing · Data Processing and Analysis Platforms for Drones · Cloud Computing Supported Data Storage and Management for Drones · Blockchain-based Data Security for Drones · Application of Edge Computing in Real-time Data Processing for Drones · Application of Novel Sensors in Drones · Integration and Miniaturization of Drone Electronic Components · Research on Wireless Carrier Technologies for Drones · Technologies to Enhance Interference Resistance of Drone Electronics · RF Design and Implementation for Drones · Architecture and Design of Communication Networks for Drones · Real-time Data Transmission Between Drones and Ground Stations · Communication Protocols Among Drone Swarms · Optimization of Signal Processing Algorithms for Drones · Deep Learning-based Image Recognition for Drones · Processing and Analysis of Remote Sensing Data from Drones · Application of Multi-source Data Fusion Techniques in Drones · Remote Sensing Technologies for Environmental Monitoring with Drones · High-Precision GIS Applications Using Drones · Image Processing and 3D Modeling Techniques Using Drones · Environment perception for autonomous bionic robotic aircraft · Modeling and control design for bionic unmanned aerial vehicles · Autonomous intelligent control of low-altitude flight systems · Deep learning and reinforcement learning for UAV autonomy · Biologically-inspired environment perception for UAVs · Autonomous planning and navigation for bionic aircraft · Multimodal sensor fusion for UAV perception and feedback · Modeling of sensory and motor systems for bionic UAVs · Brain-inspired learning and adaptation for UAV control · Biomimetic modeling and control for bio-mechatronic UAVs · AI-driven intelligent systems for unmanned aerial vehicles · Collaborative control and formation of multiple UAVs · Biomimetic context awareness for unmanned aerial systems · Intention understanding and decision-making for UAVs · System design and learning control for micro UAV systems
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CCF正式名称インパクトファクター出版社ISSN
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CFuture Generation Computer Systems5.9Elsevier0167-739X
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