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Computational Intelligence for Decision Support in Cyber-Physical Systems

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Cover of 'Computational Intelligence for Decision Support in Cyber-Physical Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Configurable, Energy-Efficient, Application- and Channel-Aware Middleware Approaches for Cyber-Physical Systems
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    Chapter 2 Multi-objective Optimization for Error Compensation in Intelligent Micro-factory CPS
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    Chapter 3 The Development of Cyber-Physical System in Health Care Industry
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    Chapter 4 Context-Aware Perception for Cyber-Physical Systems
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    Chapter 5 A Comparison of Pulse Compression Techniques for Ranging Applications
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    Chapter 6 Trajectory Generation for Autonomous Mobile Robots
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    Chapter 7 Fuzzy Logic-Based Adaptive Decision Support in Autonomous Vehicular Networks
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    Chapter 8 Adaptive Trajectory Tracking of Wheeled Mobile Robot with Uncertain Parameters
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    Chapter 9 Computational Intelligence in Smart Grids: Case Studies
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    Chapter 10 On-line Demand Management of Low Voltage Residential Distribution Networks in Smart Grids
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    Chapter 11 Smart Inter-Phase Switching of Residential Loads in Low Voltage Distribution Feeders
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    Chapter 12 The Optimization of Computational Stock Market Model Based Complex Adaptive Cyber Physical Logistics System: A Computational Intelligence Perspective
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    Chapter 13 Optimized Reconfigurable Autopilot Design for an Aerospace CPS
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    Chapter 14 TS Fuzzy Approach for Fault Detection in Nonlinear Cyber Physical Systems
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    Chapter 15 Novel Computational Intelligence for Optimizing Cyber Physical Pre-evaluation System
Overall attention for this book and its chapters
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Title
Computational Intelligence for Decision Support in Cyber-Physical Systems
Published by
Springer, Singapore, January 2014
DOI 10.1007/978-981-4585-36-1
ISBNs
978-9-81-458535-4, 978-9-81-458536-1, 978-9-78-981458-9
Editors

Zeashan H Khan, A. B. M. Shawkat Ali, Zahid Riaz

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Hungary 1 2%
Australia 1 2%
Unknown 56 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 37%
Student > Master 10 17%
Researcher 6 10%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 10 17%
Unknown 4 7%
Readers by discipline Count As %
Engineering 29 48%
Computer Science 19 32%
Decision Sciences 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Energy 1 2%
Other 1 2%
Unknown 7 12%

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