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Titlebook: Dependable Computer Systems and Networks; Proceedings of the E Wojciech Zamojski,Jacek Mazurkiewicz,Janusz Kacprz Conference proceedings 20

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发表于 2025-3-21 17:46:50 | 显示全部楼层 |阅读模式
书目名称Dependable Computer Systems and Networks
副标题Proceedings of the E
编辑Wojciech Zamojski,Jacek Mazurkiewicz,Janusz Kacprz
视频videohttp://file.papertrans.cn/266/265702/265702.mp4
概述Presents recent research in Complex Systems and Dependability.Provides general aspects and dependability of systems, networks theory, and communication technology.Covers proceedings of the Eighteenth
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Dependable Computer Systems and Networks; Proceedings of the E Wojciech Zamojski,Jacek Mazurkiewicz,Janusz Kacprz Conference proceedings 20
描述.The book includes papers about various problems of dependable operation of computer systems and networks, which were presented during the 18.th. DepCoS-RELCOMEX conference. Their collection can be an interesting source material for scientists, researchers, practitioners, and students who are dealing with design, analysis, and engineering of computer systems and networks and must ensure their dependable operation...The increasing role of artificial intelligence algorithms and tools in modern information technology and computer engineering, especially rapid expansion of tools based on deep learning methods, calls for extending our view on system dependability. Selection of papers in these proceedings not only illustrates a wide-ranging variety of multidisciplinary topics which should be considered in this context but also proves that virtually all areas of contemporary computer systems and networks musttake into account an aspect of dependability..
出版日期Conference proceedings 2023
关键词Dependability; Complex Systems; Conference Proceedings; Reliability; Maintenance; DepCoS-RELCOMEX; Transpo
版次1
doihttps://doi.org/10.1007/978-3-031-37720-4
isbn_softcover978-3-031-37719-8
isbn_ebook978-3-031-37720-4Series 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
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Detection of Oversized Objects in a Video Stream Using an Image Classification with Deep Neural Nets were successfully used to classify a frame containing a dangerous rock, e.g. ResNet, as well as VGG16. A detection algorithm based on a moving average thresholding was proposed in order to reduce false positives.
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,New Approach to Constructive Induction—Towards Deep Discrete Learning, complex dependencies in data sets, often leading to very extensive and thus less interpretable sets of rules. In our work, we show how the introduction of complex condition into rules induction, allows to find new relationships and create simpler sets of rules. We provide our algorithm in the form of a Python library so that anyone can use it.
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David Schwab,Roshan Eapen,Puneet Singland data at the boundary between flacking and normal part are shown to be a cause of misjudgment. We tried to find the reason for to decrease in accuracy. We found that training by removing the boundary data improves accuracy.
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Erik Blasch,Frederica Darema,Alex Avedustomer engagement and retention. The paper begins by presenting six major challenges in the domain of email marketing and next investigates different approaches used to solve each of them. The subject of this work is an overview of applied works exclusively in the email marketing sector.
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