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Titlebook: Modelling and Simulation for Autonomous Systems; 4th International Co Jan Mazal Conference proceedings 2018 Springer International Publishi

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樓主
發(fā)表于 2025-3-21 18:09:07 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Modelling and Simulation for Autonomous Systems
副標題4th International Co
編輯Jan Mazal
視頻videohttp://file.papertrans.cn/637/636612/636612.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Modelling and Simulation for Autonomous Systems; 4th International Co Jan Mazal Conference proceedings 2018 Springer International Publishi
描述.This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Modelling and Simulation for Autonomous Systems, MESAS 2017, held in Rome, Italy, , in October 2017...The 33 revised full papers included in the volume were carefully reviewed and selected from 38 submissions. They are organized in the following topical sections: M&S of Intelligent Systems – AI, R&D and Applications; Autonomous Systems in Context of Future Warfare and Security – Concepts, Applications, Standards and Legislation; Future Challenges and Opportunities of Advanced M&S Technology..
出版日期Conference proceedings 2018
關鍵詞artificial intelligence; autonomous systems; computer networks; data security; decision support systems;
版次1
doihttps://doi.org/10.1007/978-3-319-76072-8
isbn_softcover978-3-319-76071-1
isbn_ebook978-3-319-76072-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Conference proceedings 2018Systems, MESAS 2017, held in Rome, Italy, , in October 2017...The 33 revised full papers included in the volume were carefully reviewed and selected from 38 submissions. They are organized in the following topical sections: M&S of Intelligent Systems – AI, R&D and Applications; Autonomous Systems in
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978-3-319-76071-1Springer International Publishing AG, part of Springer Nature 2018
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https://doi.org/10.1007/978-3-319-76072-8artificial intelligence; autonomous systems; computer networks; data security; decision support systems;
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Performance Analysis of Parallel Alternating Directions Algorithm for Time Dependent Problemsn each spatial direction. The parallel code was developed using MPI and tested on modern computer systems. The performed numerical tests illustrate the parallel efficiency, and the scalability, of the direction-splitting based algorithm.
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https://doi.org/10.1007/978-3-658-13433-4tion may arise as to whether such limitations include the air-domain or not. We should say that as a rule it all depends on the meaning of the stipulations, though some general indications may be given on the matter.
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