£131.01

Springer - Big Data Analytics for Cyber-Physical Systems

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Description

Explore the integration of big data techniques within cyber-physical systems (CPS) through this comprehensive collection of research and survey articles. This book examines the essential feedback controls and close interactions between cyber and physical components in modern technological environments. Readers will gain a deep understanding of fundamental big data problems and the solutions required for large scale distributed CPS architectures. The text moves from theoretical foundations to practical applications, covering specific design and control challenges across a variety of critical domains. By studying these advancements, you can better understand the evolving landscape of vehicular systems, smart cities, and smart buildings. The content also explores specialized areas such as digital microfluidic biochips and recent trends in maritime simulation. This resource is designed for those looking to stay informed on the latest research and technical trends in the field of cyber-physical systems and big data analytics.

Key Features

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

Examines design and control challenges within vehicular systems and smart city infrastructures.

Provides detailed research on smart building technologies and digital microfluidic biochips.

Includes recent advances and trends related to maritime simulation environments.

Features a collection of research and survey articles focused on CPS and big data techniques.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
26 June 2021
Listed Since
30 May 2021

Barcode

No barcode data available

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