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Titlebook: Business Intelligence for Enterprise Internet of Things; Anandakumar Haldorai,Arulmurugan Ramu,Syed Abdul R Book 2020 Springer Nature Swit

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發(fā)表于 2025-3-21 17:59:30 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Business Intelligence for Enterprise Internet of Things
影響因子2023Anandakumar Haldorai,Arulmurugan Ramu,Syed Abdul R
視頻videohttp://file.papertrans.cn/193/192223/192223.mp4
發(fā)行地址Illustrates how enterprise network infrastructure teams contribute to IoT strategies at their organizations.Presents the most recent challenges and developments in business management in Internet of T
學(xué)科分類EAI/Springer Innovations in Communication and Computing
圖書封面Titlebook: Business Intelligence for Enterprise Internet of Things;  Anandakumar Haldorai,Arulmurugan Ramu,Syed Abdul R Book 2020 Springer Nature Swit
影響因子.This book discusses Internet of Things (IoT) as it relates to enterprise applications, systems, and infrastructures. The authors discuss IoT and how it’s disrupting industries such as enterprise manufacturing, enterprise transportation, enterprise smart market, enterprise utilities, and enterprise healthcare. They cover how IoT in the enterprise will have a major impact on the lives of consumers and professionals around the world and how it will change the way we think about professional and consumer networks. The book‘s topics include IoT enterprise system architecture, IoT enabling enterprise technologies, and IoT enterprise services and applications. Examples include enterprise on demand, market impacts, and implications on smart technologies, big data enterprise management, and future enterprise Internet design for various IoT use cases, such as share markets, healthcare, smart cities, smart environments, smart communications and smart homes..
Pindex Book 2020
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Media and Well-graded Families,es and contributions of technologies used in various levels. This research therefore proposes the IoTs Sim-Edge simulators, which are meant to permit users to analyse the edge computing cases more easily since this simulator is more customizable and configurable in the ecosystem. The model is create
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Well-Graded Families of Relations,overview of industrial IoTs. Moreover, the chapter evaluates the IoTs architecture, its services, and the relevant challenges, including the models that are vital for the deployment and selection of the various IoTs services in different industrial settings which will be analyzed in various case stu
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Johannes Bruhn,Matthias Anderer academic buildings and hostel blocks. The proposed heat map can effectively retain the temporal motion knowledge of the crowd of humans, and the proposed surface fitting can efficiently fetch the features of the heat map for activity discovery and perception. By using heat maps in targeted digital
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