Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019, 28-29 December 2019, Shenyang, China / edited by Mohammed Atiquzzaman, Neil Yen, Zheng Xu.
Contributor(s): SpringerLink (Online service)
| Atiquzzaman, Mohammed., editor | Yen, Neil., editor | Xu, Zheng., editor
Material type: 
E-bookSeries: (Advances in Intelligent Systems and Computing, 2194-5357; 1117); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: 1 recurso en línea (XXXIII, 2016 páginas) : 507 ilustraciones.ISBN: 9789811525681.Subject: Inteligencia artificial -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
In:
Springer eBooksAbstract: This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28-29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook04032159 |
This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28-29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
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