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Titlebook: Beyond the Internet of Things; Everything Interconn Jordi Mongay Batalla,George Mastorakis,Evangelos P Book 2017 Springer International Pub

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發(fā)表于 2025-3-21 16:32:54 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Beyond the Internet of Things
期刊簡稱Everything Interconn
影響因子2023Jordi Mongay Batalla,George Mastorakis,Evangelos P
視頻videohttp://file.papertrans.cn/186/185341/185341.mp4
發(fā)行地址Addresses the major new technological developments in the field and will reflect current research trends, as well as industry needs.Comprises of a good balance between theoretical and practical issues
學(xué)科分類Internet of Things
圖書封面Titlebook: Beyond the Internet of Things; Everything Interconn Jordi Mongay Batalla,George Mastorakis,Evangelos P Book 2017 Springer International Pub
影響因子.The major subjects of the book cover modeling, analysis and efficient management of information in Internet of Everything (IoE) applications and architectures. As the first book of its kind, it addresses the major new technological developments in the field and will reflect current research trends, as well as industry needs. It comprises of a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports and best practices in utilizing IoE applications. It also provides technical/scientific information about various aspects of IoE technologies, ranging from basic concepts to research grade material, including future directions.? .
Pindex Book 2017
The information of publication is updating

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Security Challenges of the Internet of Thingsmbedded with sensors, equipped with a variety of communication technologies and given unique identifiers that can enable them connect to the Internet. This allows them to talk to each other, collect data and transfer data over the Internet. IoT has the potential to enhance the way we do things by in
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On Real Time Implementation of Emotion Detection Algorithms in Internet of Things sections present the basic approaches both for emotion detection using face images and speech signals. This work highlights the tradeoff between detection performance and algorithm complexity and describes the architectures of microcontrollers used to implement the algorithms for emotion detection
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