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Titlebook: New Technologies and Developments in Unmanned Systems; Proceedings of the I T. Hikmet Karakoc,Soledad Le Clainche,Ali Haydar E Conference p

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发表于 2025-3-21 19:03:59 | 显示全部楼层 |阅读模式
书目名称New Technologies and Developments in Unmanned Systems
副标题Proceedings of the I
编辑T. Hikmet Karakoc,Soledad Le Clainche,Ali Haydar E
视频video
概述Covers a wide range of emerging topics;.Addresses current issues on autonomous vehicles and unmanned aircraft;.Full proceedings of the ISUDEF 2022 held in Madrid, Spain.
丛书名称Sustainable Aviation
图书封面Titlebook: New Technologies and Developments in Unmanned Systems; Proceedings of the I T. Hikmet Karakoc,Soledad Le Clainche,Ali Haydar E Conference p
描述Unmanned systems are one of the fastest-growing and widely developing technologies in the world, offering many possibilities for a variety of research fields. This book comprises the proceedings of the 2022 International Symposium on Unmanned Systems and the Defense Industry (ISUDEF), a multi-disciplinary conference on a broad range of current research and issues in areas such as autonomous technology, unmanned aircraft technologies, avionics, radar systems, air defense, aerospace robotics and mechatronics, and aircraft technology design. ISUDEF allows researchers, scientists, engineers, practitioners, policymakers, and students to exchange information, present new technologies and developments, and discuss future direction, strategies, and priorities in the field of autonomous vehicles and unmanned aircraft technologies.
出版日期Conference proceedings 2023
关键词Aircraft technology; Aircraft maintenance and operations; Aircraft structures; Artificial Intelligence;
版次1
doihttps://doi.org/10.1007/978-3-031-37160-8
isbn_softcover978-3-031-37162-2
isbn_ebook978-3-031-37160-8Series ISSN 2730-7778 Series E-ISSN 2730-7786
issn_series 2730-7778
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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A Predictive Physics-Aware Machine Learning Model for Reacting Flows,o predict the evolution in time of the thermodynamic states of a reacting flow database. The complexity of this type of flow resides in the multiscale nature and the transient behavior of the physical states. For solving the first problem, different scaling methods have been applied and compared to
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