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Springer Big Data Analytics for Cyber-Physical Systems - Springer

Amazon

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£131.39 £129.08 £129.58 £130.09 £130.59 £131.10 £131.60 21 July 2026 04 August 2026 19 August 2026 02 September 2026 17 September 2026
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32 days 27 days · current 0 8 16 24 32 £129 £131 Days at Price

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Price range: £129 - £131

Price levels: 2 different prices over 59 days

Description

Big Data Analytics for Cyber-Physical Systems is a comprehensive resource from Springer exploring advanced techniques for managing and analysing data in complex cyber-physical systems. The book brings together research and survey articles focused on big data solutions for large-scale distributed CPSs, addressing the intricate interactions between cyber and physical components. It covers fundamental big data problems and their solutions across multiple domains including vehicular systems, smart cities, smart buildings, and digital microfluidic biochips. The publication examines design and control challenges specific to each application area and presents recent advances and emerging trends in maritime simulation systems and related fields. This volume serves as both a technical reference and a strategic guide for researchers, engineers, and professionals working with interconnected systems that require sophisticated data analytics approaches.

Key Features

Big Data Analytics for Cyber-Physical Systems addresses the feedback controls and close interactions between cyber and physical system components.

The book covers design and control challenges across multiple CPS domains including vehicular systems, smart cities, and smart buildings.

Springer's publication includes fundamental big data problems and solutions specifically tailored for large-scale distributed cyber-physical systems.

Recent advances and trends in maritime simulation systems are presented alongside other emerging applications in cyber-physical analytics.

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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