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Titlebook: Reliability and Statistics in Transportation and Communication; Selected Papers from Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis Confe

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發(fā)表于 2025-3-21 18:49:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Reliability and Statistics in Transportation and Communication
副標(biāo)題Selected Papers from
編輯Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis
視頻videohttp://file.papertrans.cn/827/826398/826398.mp4
概述Reports on advances in the theory and practice of complex engineering systems.Describes multidisciplinary approaches for reliability and dependability analysis.Offers a timely snapshot on applications
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Reliability and Statistics in Transportation and Communication; Selected Papers from Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis Confe
描述.This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 17, 2020. It spans a broad spectrum of topics, from mathematical models and design methodologies, to?software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.?. .
出版日期Conference proceedings 2021
關(guān)鍵詞Urban Traffic Modelling; Monitoring of Transport Vehicles; Digital learning systems; IS for Aircraft Ma
版次1
doihttps://doi.org/10.1007/978-3-030-68476-1
isbn_softcover978-3-030-68475-4
isbn_ebook978-3-030-68476-1Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
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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發(fā)表于 2025-3-21 22:05:48 | 只看該作者
Using Machine Learning for DoS Attacks Diagnosticsments. It was made the event’s features number reduction in datasets to assess the influence of this number on the accuracy of classification. We come to certain conclusions about ML methods implementation in Intrusion Detection Systems (IDS) especially for DoS attacks diagnostics.
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發(fā)表于 2025-3-22 00:26:53 | 只看該作者
MaaS Adoption in EU Metropolitan Areas: Madrid (Spain) and the Randstad (Netherlands) we recognize two main barriers that can frustrate MaaS acceptance: low technology affinity and low openness to multimodal behaviors. Policies that focus on these two aspects can encourage MaaS adoption and promote therefore a shift towards more sustainable choices.
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Conference proceedings 2021ook place remotely from Riga, Latvia, on October 14 – 17, 2020. It spans a broad spectrum of topics, from mathematical models and design methodologies, to?software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.?. .
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發(fā)表于 2025-3-22 19:39:34 | 只看該作者
Conference proceedings 2021 multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which t
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發(fā)表于 2025-3-22 21:40:12 | 只看該作者
2367-3370 endability analysis.Offers a timely snapshot on applications.This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with com
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MaaS Adoption in EU Metropolitan Areas: Madrid (Spain) and the Randstad (Netherlands)ill impact the behaviors of travelers. In this study, we explore individuals’ willingness to adopt MaaS. With this objective, we conduct an online survey campaign in two European metropolitan areas: Madrid (Spain) and the Randstad (Netherlands). In general, we find positive attitudes towards MaaS. B
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