£117.09

Springer - Big Data Analytics for Cyber-Physical Systems

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Description

Explore the intersection of data science and physical infrastructure with Big Data Analytics for Cyber-Physical Systems by Springer. This specialized collection features research and survey articles focused on big data techniques for CPS, where cyber components and physical components maintain constant feedback controls and interactions. Readers will gain a deep understanding of fundamental big data problems and their solutions within large scale distributed CPS environments. The text moves from theoretical foundations to practical applications, covering design and control challenges across several modern domains. This book is an essential resource for understanding how data drives efficiency in vehicular systems, smart cities, and smart buildings. It also examines specialized areas such as digital microfluidic biochips and recent developments in maritime simulation systems. Whether you are studying distributed systems or complex network security, this volume provides the technical insights necessary to navigate the evolving landscape of cyber-physical integration.

Key Features

Covers fundamental big data problems and solutions specifically designed for large scale distributed cyber-physical systems.

Examines design and control challenges within diverse domains including vehicular systems and smart cities.

Provides technical insights into smart building management and the application of digital microfluidic biochips.

Includes recent advances and trends regarding maritime simulation systems and related technologies.

Features a collection of research and survey articles focused on the interaction between cyber and physical components.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 June 2020
Listed Since
15 February 2020

Barcode

No barcode data available

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