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派博传思国际中心 »期刊书目

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Titlebook: Expert Clouds and Applications; Proceedings of ICOEC I. Jeena Jacob,Selvanayaki Kolandapalayam Shanmuga Conference proceedings 2023 The Edi

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书目名称Expert Clouds and Applications
副标题Proceedings of ICOEC
编辑I. Jeena Jacob,Selvanayaki Kolandapalayam Shanmuga
视频video
概述Presents recent research in the field of cloud computing.Discusses the outcomes of ICOECA 2023, held in Bangalore, India.Serves as a reference guide for researchers and practitioners in academia and i
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Expert Clouds and Applications; Proceedings of ICOEC I. Jeena Jacob,Selvanayaki Kolandapalayam Shanmuga Conference proceedings 2023 The Edi
描述.The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2023), organized by RV Institute of Technology and Management, Bangalore, India, during February 9–10, 2023. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies. The thrust of the book is to showcase different research chapters dealing with the design, development, implementation, testing and analysis of intelligent systems, and expert clouds, and also to provide empirical and practical guidelines for the development of such systems..
出版日期Conference proceedings 2023
关键词Clouding Computing; Evolutionary Computing; Cognitive Intelligence; Cognitive Communication Networks; Ar
版次1
doihttps://doi.org/10.1007/978-981-99-1745-7
isbn_softcover978-981-99-1744-0
isbn_ebook978-981-99-1745-7Series 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 Singapor
The information of publication is updating

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U. K. Sinha,K. Tirumalesh,Hemant V. Mohokarhe destructive attacks that can potentially impair . data transfer. Therefore, a comprehensive resolution to this problem is required. To safeguard against . attacks against a network of clients and a network of providers, a special security technique is suggested.
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Structural Damage Detection Methods,that may be used to identify who, where, and how an attack was conducted. The fields of data science and cybersecurity are combined in this study. Detecting attacks on big data and ensuring and mitigating data security using cybersecurity and digital forensics techniques are the key goals of this study.
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Management of Groundwater Resources,e information (CSI). At base station (BS), zero-forcing method is used to reduce interference between various clusters. All of these schemes‘ theoretical analyses and simulation performances have been confirmed using simulation data.
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https://doi.org/10.1007/978-981-13-9953-4 before executing tasks on Hadoop, depending on the dataset file size, the cluster will dynamically shrink or expand. This will improve the overall performance of the system by allocating an appropriate number of slave nodes based on the size of the input file and then will proceed with MapReduce processing.
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,Big Data Security: Attack’s Detection Methods Using Digital Forensics,that may be used to identify who, where, and how an attack was conducted. The fields of data science and cybersecurity are combined in this study. Detecting attacks on big data and ensuring and mitigating data security using cybersecurity and digital forensics techniques are the key goals of this study.
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